From d2fdda7c09c7533d7f43dee95078226a12f2f9ff Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Mon, 16 Sep 2019 00:09:00 +0200
Subject: [PATCH 01/10] Add "develop" dependencies for the presenter

- the Jupyter notebooks are assumed to be run within an installation of
  the Anaconda Distribution (version 2019-07 with Python 3.7.3) by the
  students (assumed to be total beginners)
- for the presenter some special third-party libraries are added to
  allow for executable code cells in presentation mode (via rise)
- black / blackcellmagic provide a convenient way to style the code
  while working on the notebooks
---
 poetry.lock    | 739 +++++++++++++++++++++++++++++++++++++++++++++++++
 pyproject.toml |   5 +
 2 files changed, 744 insertions(+)
 create mode 100644 poetry.lock

diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..75af38f
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,739 @@
+[[package]]
+category = "dev"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+name = "appdirs"
+optional = false
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+version = "1.4.3"
+
+[[package]]
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+
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+
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+
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+
+[package.dependencies]
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+toml = ["229f81c57791a41d65e399fc06bf0848bab550a9dfd5ed66df18ce5f05e73d5c", "235682dd292d5899d361a811df37e04a8828a5b1da3115886b73cf81ebc9100e", "f1db651f9657708513243e61e6cc67d101a39bad662eaa9b5546f789338e07a3"]
+tornado = ["349884248c36801afa19e342a77cc4458caca694b0eda633f5878e458a44cb2c", "398e0d35e086ba38a0427c3b37f4337327231942e731edaa6e9fd1865bbd6f60", "4e73ef678b1a859f0cb29e1d895526a20ea64b5ffd510a2307b5998c7df24281", "559bce3d31484b665259f50cd94c5c28b961b09315ccd838f284687245f416e5", "abbe53a39734ef4aba061fca54e30c6b4639d3e1f59653f0da37a0003de148c7", "c845db36ba616912074c5b1ee897f8e0124df269468f25e4fe21fe72f6edd7a9", "c9399267c926a4e7c418baa5cbe91c7d1cf362d505a1ef898fde44a07c9dd8a5"]
+traitlets = ["9c4bd2d267b7153df9152698efb1050a5d84982d3384a37b2c1f7723ba3e7835", "c6cb5e6f57c5a9bdaa40fa71ce7b4af30298fbab9ece9815b5d995ab6217c7d9"]
+wcwidth = ["3df37372226d6e63e1b1e1eda15c594bca98a22d33a23832a90998faa96bc65e", "f4ebe71925af7b40a864553f761ed559b43544f8f71746c2d756c7fe788ade7c"]
+webencodings = ["a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", "b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"]
+widgetsnbextension = ["079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7", "bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"]
diff --git a/pyproject.toml b/pyproject.toml
index 6303a1d..1cd387e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,8 +7,13 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = "^3.6"
+jupyter = "^1.0"
 
 [tool.poetry.dev-dependencies]
+black = {version = "^18.3-alpha.0", allows-prereleases = true}
+blackcellmagic = "^0.0.2"
+jupyter-contrib-nbextensions = "^0.5"
+rise = "^5.5"
 
 [build-system]
 requires = ["poetry>=0.12"]

From f33af9684775f387743c2f425b4bc83f6fa2d969 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Mon, 16 Sep 2019 00:14:56 +0200
Subject: [PATCH 02/10] Add a simple .gitignore file

---
 .gitignore | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 .gitignore

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..c4b1ff0
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,11 @@
+# Environments
+.env/
+env/
+.venv/
+venv/
+
+# Jupyter
+.ipynb_checkpoints/
+
+# pyenv
+.python-version

From bb2cfce3c79f1ad5890de2d5413632c1226d6f03 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Mon, 16 Sep 2019 00:18:38 +0200
Subject: [PATCH 03/10] Add initial version of notebook 00

---
 00_start_up.ipynb                   | 897 ++++++++++++++++++++++++++++
 static/anaconda.png                 | Bin 0 -> 142513 bytes
 static/growth_major_languages.png   | Bin 0 -> 210392 bytes
 static/growth_smaller_languages.png | Bin 0 -> 175532 bytes
 static/logo.png                     | Bin 0 -> 7821 bytes
 static/logos.png                    | Bin 0 -> 364253 bytes
 static/terminal.png                 | Bin 0 -> 29931 bytes
 static/xkcd.png                     | Bin 0 -> 90835 bytes
 8 files changed, 897 insertions(+)
 create mode 100644 00_start_up.ipynb
 create mode 100644 static/anaconda.png
 create mode 100644 static/growth_major_languages.png
 create mode 100644 static/growth_smaller_languages.png
 create mode 100644 static/logo.png
 create mode 100644 static/logos.png
 create mode 100644 static/terminal.png
 create mode 100644 static/xkcd.png

diff --git a/00_start_up.ipynb b/00_start_up.ipynb
new file mode 100644
index 0000000..588d7ab
--- /dev/null
+++ b/00_start_up.ipynb
@@ -0,0 +1,897 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# An Introduction to Python and Programming"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "This course is set up to be a *thorough* introduction to programming in [Python](https://www.python.org/).\n",
+    "\n",
+    "It teaches the concepts behind and the syntax of the core Python language as defined by the [Python Software Foundation](https://www.python.org/psf/) in the official [language reference](https://docs.python.org/3/reference/index.html) and introduces additions to the language as distributed with the [standard library](https://docs.python.org/3/library/index.html) that come with every installation.\n",
+    "\n",
+    "Furthermore, some very popular third-party libraries like [numpy](https://www.numpy.org/), [pandas](https://pandas.pydata.org/), [matplotlib](https://matplotlib.org/), and others are portrayed."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "source": [
+    "<img src=\"static/logo.png\" width=\"15%\" align=\"left\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "## Prerequisites"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To be suitable for *total beginners*, there are *no* formal prerequisites. It is only expected that the student has:\n",
+    "\n",
+    "- a *solid* understanding of the **English language** (i.e., usage of *technical* terms with *narrow* and *distinct* meanings),\n",
+    "- knowledge of **basic mathematics** from high school (i.e., addition, subtraction, multiplication, division, and a little bit of calculus and statistics),\n",
+    "- the ability to **think conceptually** and **reason logically** (i.e., *not* just memorizing), and\n",
+    "- the willingness to **invest 2-4 hours a day for a month** (cf., \"ABC\"-rule at the end)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Objective"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "The course's **main goal** is to **prepare** the student **for further studies** in the \"field\" of **data science**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "This includes but is not limited to more advanced courses on topics such as:\n",
+    "- linear algebra\n",
+    "- statistics & econometrics\n",
+    "- data cleaning & wrangling\n",
+    "- data visualization\n",
+    "- data engineering (incl. SQL databases)\n",
+    "- data mining (incl. web scraping)\n",
+    "- feature generation, machine learning, & deep learning\n",
+    "- optimization & (meta-)heuristics\n",
+    "- algorithms & data structures\n",
+    "- quantitative finance (e.g., option valuation)\n",
+    "- quantitative marketing (e.g., customer segmentation)\n",
+    "- quantitative supply chain management (e.g., forecasting)\n",
+    "- management science & decision models\n",
+    "- backend / API / web development (to serve data products to clients)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### Why data science?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The term **[data science](https://en.wikipedia.org/wiki/Data_science)** is rather vague and does actually *not* refer to an academic discipline. Instead the term was popularized by the tech industry who also coined non-meaningful job titles such as \"[rockstar](https://www.quora.com/Why-are-engineers-called-rockstars-and-ninjas)\" or \"[ninja developers](https://www.quora.com/Why-are-engineers-called-rockstars-and-ninjas)\". Most *serious* definitions describe the field as being **multi-disciplinary** *integrating* scientific methods, algorithms, and systems thinking to extract knowledge from (structured and unstructured) data *and* also emphasize the importance of **[domain knowledge](https://en.wikipedia.org/wiki/Domain_knowledge)**.\n",
+    "\n",
+    "Recently, this integration aspect feeds back into the academic world. The [MIT](https://www.mit.edu/), for example, created the new [Stephen A. Schwarzman College of Computing](http://computing.mit.edu) for [artifical intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence) (with a 1 billion dollar initial investment) where students undergo a \"bilingual\" curriculum with half the classes in quantitative and method-centric fields (like the ones mentioned above) and the other half in domains such as biology, business, chemistry, politics, (art) history, or linguistics (cf., the [official Q&As](http://computing.mit.edu/faq/) or this [NYT article](https://www.nytimes.com/2018/10/15/technology/mit-college-artificial-intelligence.html)). Their strategists see a future where programming skills are just as naturally embedded into every students' studies as are nowadays subjects like calculus, statistics, or academic writing. Then, programming literacy is not just another \"nice to have\" skill but a prerequisite (or an enabler) to understanding more advanced topics in the actual domains studied. This could make teaching easier for top-notch researchers who use a lot of programming in their day-to-day lifes answering big questions: The student and the teacher are then more likely to \"speak\" the same language."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "## Installation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To follow this course, a working installation of **Python 3.6** or higher is needed.\n",
+    "\n",
+    "A popular and beginner friendly way is to install the [Anaconda Distribution](https://www.anaconda.com/distribution/) that not only ships Python and the standard library but comes pre-packaged with a lot of third-party libraries from the so-called \"scientific stack\". Just go to the [download](https://www.anaconda.com/download/) page and install the latest version (i.e., *2019-07* with Python 3.7 at the time of this writing) for your operating system.\n",
+    "\n",
+    "Then, among others, you will find an entry \"Jupyter Notebook\" in your start menu like below. Click on it and a new tab in your web browser will open where you can switch between folders as you could in your computer's default file browser."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "<img src=\"static/anaconda.png\" width=\"40%\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To download the course's materials as a ZIP file, open the accompanying [GitHub repository](https://github.com/webartifex/intro-to-python) in a web browser and click on the green \"Clone or download\" button on the right. Then, unpack the ZIP file into a folder of your choosing (ideally somewhere within your personal user folder so that the files show up right away)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### Alternative Installation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Python can also be installed in a \"pure\" way as obtained from its core development team. However, this is somewhat too \"advanced\" for a beginner who would then also be responsible for setting up all the third-party libraries needed to actually view this document. Plus, many of the involveld steps must be done in a [terminal](https://en.wikipedia.org/wiki/Terminal_emulator) window, which tends to be a bit intimidating for most beginners."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "<img src=\"static/terminal.png\" width=\"50%\" align=\"center\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "For more \"couragous\" beginners wanting to learn how to accomplish this, here is a rough sketch of the aspects to know. First, all Python realeases are available for free on the official [download](https://www.python.org/downloads/) page for any supported operating system. Choose the one you want, then download and install it (cf., the [instruction notes](https://wiki.python.org/moin/BeginnersGuide/Download)). As this only includes core Python and the standard library, the beginner then needs to learn about the [pip](https://pip.pypa.io/en/stable/) module, which is to be used inside a terminal. With the command `python -m pip install jupyter`, all necessary third-party libraries can be installed (cf., more background [here](https://jupyter.readthedocs.io/en/latest/install.html)). However, this would be done in a *system-wide* fashion and is not recommended. Instead, the best practice is to create a so-called **virtual environment** with the [venv](https://docs.python.org/3/library/venv.html) module with which the installed third-party packages can be *isolated* on a per-project basis (the command `python -m venv env-name` creates a virtual enviroment called \"env-name\"). This tactic is employed to avoid a situation known as **[dependency hell](https://en.wikipedia.org/wiki/Dependency_hell)** Once created, the virtual environment must then be activated each time before resuming work in each terminal (with the command `source env-name/bin/activate`). While there exist convenience tools that automate parts of this (e.g., [poetry](https://poetry.eustace.io/docs/) or [virtualenvwrapper](https://virtualenvwrapper.readthedocs.io/en/latest/)), it only distracts a beginner from actually studying the Python language. Yet, it is still worthwhile to have heard about these terms and concepts as many online resources often implicitly assume the user to know about them."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Jupyter Notebooks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The document you are viewing is a so-called [Jupyter notebook](https://jupyter-notebook.readthedocs.io/en/stable/notebook.html), a file format introduced by the [Jupyter Project](https://jupyter.org/).\n",
+    "\n",
+    "\"Jupyter\" is an [acronym](https://en.wikipedia.org/wiki/Acronym) derived from the names of the three major programming languages **[Julia](https://julialang.org/)**, **[Python](https://www.python.org)**, and **[R](https://www.r-project.org/)**, all of which play significant roles in the world of data science. The Jupyter Project's idea is to serve as an integrating platform such that different programming languages and software packages can be used together within the same project easily.\n",
+    "\n",
+    "Furthermore, Jupyter notebooks have become a de-facto standard for communicating and exchanging results in the data science community (both in academia and business) and often provide a more intuitive alternative to terminal based ways of running Python (e.g., the default [Python interpreter](https://docs.python.org/3/tutorial/interpreter.html) as shown above or a more advanced interactive version like [IPython](https://ipython.org/)) or even a full-fledged [Integrated Development Environment](https://en.wikipedia.org/wiki/Integrated_development_environment) (e.g., the commercial [PyCharm](https://www.jetbrains.com/pycharm/) or the free [Spyder](https://github.com/spyder-ide/spyder)).\n",
+    "\n",
+    "In particular, they allow to mix plain English text with Python code cells. The plain text can be formatted using the [Markdown](https://guides.github.com/features/mastering-markdown/) language and mathematical expressions can be typeset with [LaTeX](https://www.overleaf.com/learn/latex/Free_online_introduction_to_LaTeX_%28part_1%29). Lastly, we can include pictures, plots, and even videos. Because of these features, the notebooks developed for this course come in a self-contained \"tutorial\" style that enables students to learn and review the material on their own."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### Markdown vs. Code Cells"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "A Jupyter notebook consists of cells that have a type associated with them. So far, only cells of type \"Markdown\" have been used, which is the default way to present (formatted) text.\n",
+    "\n",
+    "The next cell below is an example of a \"Code\" cell containing a line of actual Python code: it simply outputs the text \"Hello world\" when executed. To edit an existing code cell, just enter into it with a mouse click. You know that you are \"in\" a code cell when you see the frame of the code cell turn green.\n",
+    "\n",
+    "Besides this **edit mode** there is also a so-called **command mode** that you can reach by hitting the \"Escape\" key after entering a code cell, which turns the frame's color into blue. Using the Enter\" and \"Escape\" keys you can now switch between the two modes.\n",
+    "\n",
+    "To *execute* (or *run*) a code cell, hold the \"Control\" key and press \"Enter\". Note how you do not go to the subsequent cell. Alternatively, you can hold the \"Shift\" key and press \"Enter\", which executes the cell and places your focus on the next cell right after.\n",
+    "\n",
+    "Similarly, a Markdown cell is also in either the edit or command mode. For example, simply double-click on the text you are just reading, which takes you into edit mode. Now you could change the formatting (e.g., make a word printed in *italics* or **bold** with single or double asterisks) and then \"execute\" the cell to actually render the text as specified.\n",
+    "\n",
+    "To change a cell's type, choose either \"Code\" or \"Markdown\" in the navigation bar at the top."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hello world\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Hello world\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Sometimes a code cell starts with an exclamation mark `!`. Then, the Jupyter notebook behaves as if you just typed the following commands right into a terminal. The cell below asks `python` to show its version number. This is actually *not* Python code but a command in the [Shell](https://en.wikipedia.org/wiki/Shell_script) language. The `!` is useful to execute short commands without leaving a Jupyter notebook."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Python 3.7.3\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!python --version"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "## Programming vs. Computer Science vs. IT"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "For this course *programming* is \"defined\" as\n",
+    "- a **structured** way of **problem solving**\n",
+    "- by **expressing** the steps of a **computation / process**\n",
+    "- and thereby **documenting** the process in a formal way\n",
+    "\n",
+    "Programming is always **concrete** and based on a **particular case**.\n",
+    "\n",
+    "Programming definitely exhibits elements of an **art** or a **craft** as we will hear programmers call code \"beautiful\" or \"ugly\" or talk about the \"expressive\" power of an application."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "That is different from *computer science*, which is\n",
+    "- a field of study comparable to (applied) **mathematics** that\n",
+    "- asks **abstract** questions (\"Is something computable at all?\"),\n",
+    "- develops and analyses **algorithms** and **data structures**,\n",
+    "- and **proves** the **correctness** of a program\n",
+    "\n",
+    "In a sense, a computer scientist does not need to know a programming language to work. In fact, many computer scientists only know how to produce \"ugly\" code in the eyes of professional programmers."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "*IT* or *information technology* is a term that has many meanings to many people. Often, it has something to do with hardware and devices both of which are out of scope for programmers and computer scientists. In fact, many people from the two aforementioned fields are more than happy if their printer and internet just work as they do not know a lot more about that than non-technical people."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Why Python?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### What is Python?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "- [Guido van Rossum](https://en.wikipedia.org/wiki/Guido_van_Rossum) (Python’s **[Benevolent Dictator for Life](https://en.wikipedia.org/wiki/Benevolent_dictator_for_life)**) was bored during a week around Christmas 1989 and started Python as a hobby project \"that would keep \\[him\\] occupied\" for some days\n",
+    "- the idea was to create a **general-purpose scripting** language that would allow fast **prototyping** and would **run on every operating system**\n",
+    "- Python grew through the 90s as van Rossum promoted it via his \"Computer Programming for Everybody\" initiative that had the **goal to encourage a basic level of coding literacy** as an equal knowledge alongside English literacy and math skills\n",
+    "- to become more independent from its creator the next major version **Python 2** (released in 2000; still in heavy use as of today) was **open-sourced** from the get-go which attracted a **large and global community of programmers** that **contributed** their individual knowledge and best practices in their free time to make Python even better\n",
+    "- **Python 3** resulted from a major overhaul of the language in 2008 taking into account the **learnings from almost two decades**, streamlining the language, and getting ready for the age of **big data**\n",
+    "- the language is named after the sketch comedy group [Monty Python](https://en.wikipedia.org/wiki/Monty_Python)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "#### Summary"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "Python is a **general-purpose** programming language that allows for **fast development**, is **easy to comprehend**, **open-source**, long established, unifies the knowledge of **hundreds of thousands of experts** around the world, runs on basically every machine, and can handle the complexities of applications involving **big data**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### Why open-source?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Couldn't a company like Google, Facebook, or Microsoft come up with a better programming language? The following argument provides hints why this cannot really be the case.\n",
+    "\n",
+    "Wouldn't it be weird if professors and scholars of English literature and language studies dictated how we'd have to speak in day-to-day casual conversations or how authors of poesy and novels should use language constructs to achieve a certain type of mood? If you agree with that premise, it makes sense to assume that even programming languages should evolve in a \"natural\" way as users just *use* the language over time and in new and unpredictable contexts making up their own new conventions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Loose *communities* are the main building block around which open-source software is built. Someone starts a project (like Guido) and makes it free to use for anybody (e.g., on a code-sharing platform like [GitHub](https://github.com/)). People find it useful enough to solve one of their daily problems and start using it. They see how a project could be improved and provide new use cases (via the popularized concept of a \"[pull request](https://help.github.com/articles/about-pull-requests/)\"). The project grows both in lines of code and number of people using it. After a while, people start local user groups to share their same interests and meet on a regular basis (e.g., this is a big market for companies like [Meetup](https://www.meetup.com/) or non-profits like [PyData](https://pydata.org/)). Out of these local and usually monthly meetups grow yearly conferences on the country or even continental level (e.g., the original [PyCon](https://us.pycon.org/) in the US, [EuroPython](https://europython.eu/), or [PyCon.DE](https://de.pycon.org/)). The content presented at these conferences is made publicly available via GitHub and YouTube (e.g., [PyCon 2019](https://www.youtube.com/channel/UCxs2IIVXaEHHA4BtTiWZ2mQ) or [EuroPython](http://europython.tv/)) and serves as references on what people are working on and introductions to the endless number of specialized fields."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "While these communities are rather loose and constantly changing, smaller in-groups, often democratically organized and elected (e.g., the Python Software Foundation), take care of, for example, the development of the \"core\" Python language itself.\n",
+    "\n",
+    "Interestingly, Python is just a specification (i.e., a set of rules) as to what is allowed and what not. The current version of Python can always be lookep up in the [Python Language Reference](https://docs.python.org/3/reference/index.html). In order to make changes to that, anyone can make a so-called **[Python Enhancement Proposal](https://www.python.org/dev/peps/)**, or **PEP** for short, where it needs to be specified what exact changes are to be made and argued why that is a good thing to do. These PEPs are reviewed by the [core developers](https://devguide.python.org/coredev/) and anyone interested and are then either accepted, modified, or rejected if, for example, the change introduces internal inconsistencies. This is very similar to the **double blind peer review** established in academia. In fact, many of the contributors held or hold positions in academia, one more indicator of the high quality standards in the Python community. To learn more about PEPs, check out [PEP 1](https://www.python.org/dev/peps/pep-0001/) that describes the entire process.\n",
+    "\n",
+    "In total, no one single entity can control how the language evolves and the users' needs and ideas always feed back to the language specification via a quality controlled and \"democratic\" process."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Besides being free as in **\"free beer\"**, a major benefit of open-source is that one can always **look up how something works in detail** (that is the literal meaning of *open* source). This is a huge benefit compared to commercial languages (e.g., MATLAB) since a programmer can always continue to **study best practices** or how things are done. Along this way, many **errors are uncovered** as well. Furthermore, if one runs an open-source application, one can be reasonably sure that no bad people built in a \"backdoor\". [Free software](https://en.wikipedia.org/wiki/Free_software) is consequently free of charge but brings many other freedoms with it, most notable the freedom to change the code."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### Isn't C a lot faster?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The \"weird\" thing is that the default Python implementation is actually written in the C language.\n",
+    "\n",
+    "[C](https://en.wikipedia.org/wiki/C_%28programming_language%29) and [C++](https://en.wikipedia.org/wiki/C%2B%2B) (check this [introduction](https://www.learncpp.com/)) are wide-spread and long established (i.e., since the 1970s) programming languages that are employed in many mission critical softwares (e.g., operating systems themselves, low latency databases and web servers, nuclear reactor control systems, airplanes, ...). They are fast mainly because the programmer not only needs to come up with the **business logic** but also manage the computer's memory \"manually\" (and the knowledge necessary to do that is not easy to learn).\n",
+    "\n",
+    "In contrast, Python automatically manages the memory for the programmer. This speeds up the development process a lot. So speed here is really a trade-off of application run time vs. engineering / development time and in many applications the program's run time is not that important (e.g., what if C needs 0.001 seconds in a case where Python needs 0.1 seconds to train a linear regression model?). When the requirements change and computing speed becomes an issue, the Python community offers many third-party libraries (usually also written in C) where specific problems can be solved in near-C time.\n",
+    "\n",
+    "**In a nutshell**: While it is of course true that C is a lot faster than Python when it comes to **pure computation time**, in many cases this does not really matter as the **significantly shorter development cycles** are the more important cost factor in a rapidly changing business world."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Who uses it?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<img src=\"static/logos.png\" width=\"70%\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "While it is usually not the best argument to quote authorative figures like the pope, we will do this in this section anyways:\n",
+    "\n",
+    "- **[Massachusetts Institute of Technology](https://www.mit.edu/)**\n",
+    "  - teaches Python in its [introductory course](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/) to computer science independent of the student's major\n",
+    "  - replaced the infamous course on the [Scheme](https://groups.csail.mit.edu/mac/projects/scheme/) language ([source](https://news.ycombinator.com/item?id=602307))\n",
+    "- **[Google](https://www.google.com/)**\n",
+    "  - used the strategy **\"Python where we can, C++ where we must\"** from its early days on to stay flexible in a rapidly changing environment ([source](https://stackoverflow.com/questions/2560310/heavy-usage-of-python-at-google))\n",
+    "  - the very first web-crawler was written in **Java and so difficult** to maintain that it was **re-written in Python** right away ([source](https://www.amazon.com/Plex-Google-Thinks-Works-Shapes/dp/1416596585/ref=sr_1_1?ie=UTF8&qid=1539101827&sr=8-1&keywords=in+the+plex))\n",
+    "  - Python and C++, Java, and Go are the only four server-side languages to be deployed to production\n",
+    "  - Guido van Rossom was hired by Google from 2005 to 2012 to advance the language there\n",
+    "- **[NASA](https://www.nasa.gov/)** open-sources a lot of its projects, many of which are written in Python and regard working with really big data ([source](https://code.nasa.gov/language/python/))\n",
+    "- **[Facebook](https://facebook.com/)** uses Python besides C++ and its legacy PHP (a language for building websites; the \"cool kid\" from the early 2000s)\n",
+    "- **[Instagram](https://instagram.com/)** operates the largest installation of the popular **web framework  [Django](https://www.djangoproject.com/)** ([source](https://instagram-engineering.com/web-service-efficiency-at-instagram-with-python-4976d078e366))\n",
+    "- **[Spotify](https://spotify.com/)** bases its data science on Python ([source](https://labs.spotify.com/2013/03/20/how-we-use-python-at-spotify/))\n",
+    "- **[Netflix](https://netflix.com/)** also runs its predictive models on Python ([source](https://medium.com/netflix-techblog/python-at-netflix-86b6028b3b3e))\n",
+    "- **[Dropbox](https://dropbox.com/)** \"stole\" Guido van Rossom from Google to help scale the platform ([source](https://medium.com/dropbox-makers/guido-van-rossum-on-finding-his-way-e018e8b5f6b1))\n",
+    "- **[JPMorgan Chase](https://www.jpmorganchase.com/)** requires new employees to learn Python as part of the onboarding process starting with the 2018 intake ([source](https://www.ft.com/content/4c17d6ce-c8b2-11e8-ba8f-ee390057b8c9?segmentId=a7371401-027d-d8bf-8a7f-2a746e767d56))\n",
+    "- ...\n",
+    "- ... this list is intentionally shortened as Python is simply very popular ..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "As images tell more than words, here are two plots of popular languages' \"market shares\" based on the number of questions asked on [Stack Overflow](https://stackoverflow.blog/2017/09/06/incredible-growth-python/), the most relevant platform for answering programming related questions: As of late 2017, Python surpassed [Java](https://www.java.com/en/), heavily used in big corporates, and [JavaScript](https://developer.mozilla.org/en-US/docs/Web/JavaScript), the \"language of the internet\" that does everything in web browsers, in popularity. Two blog posts from \"technical\" people explain this in more depth to the layman: [Stack Overflow](https://stackoverflow.blog/2017/09/14/python-growing-quickly/) and [DataCamp](https://www.datacamp.com/community/blog/python-scientific-computing-case)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<img src=\"static/growth_major_languages.png\" width=\"50%\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "As the graph below shows, neither Google's very own language **[Go](https://golang.org/)** nor **[R](https://www.r-project.org/)**, a very popular language in the niche of statistics and data science, can compete with Python's year-to-year growth."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "<img src=\"static/growth_smaller_languages.png\" width=\"50%\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Even popular news and media outlets notice the recent popularity of Python: [Economist](https://www.economist.com/graphic-detail/2018/07/26/python-is-becoming-the-worlds-most-popular-coding-language), [Huffington Post](https://www.huffingtonpost.com/entry/why-python-is-the-best-programming-language-with-which_us_59ef8f62e4b04809c05011b9), [TechRepublic](https://www.techrepublic.com/article/why-python-is-so-popular-with-developers-3-reasons-the-language-has-exploded/), and [QZ](https://qz.com/1408660/the-rise-of-python-as-seen-through-a-decade-of-stack-overflow/)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## How to learn Programming"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### The ABC Rule"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Simply put, **always be coding**.\n",
+    "\n",
+    "Programming is more than just writing code into a text file. It means reading through parts of documentation, blogs with best practices, and tutorials, or researching some problem on Stack Overflow while trying to implement some feature in the application at hand. Also, it means using command line tools to automate some part of the work, or manage different versions of a software simultaneously using software like **[git](https://git-scm.com/)**. In short, programming involves a lot of \"muscle memory\". This can only be built and kept up through near-daily usage.\n",
+    "\n",
+    "Further, many aspects of software architecture and best practices can only be understood after having implemented some requirement for the very first time. Coding also means \"breaking\" things to find out what makes them actually work to begin with.\n",
+    "\n",
+    "Coding is learned best by just doing it for some time on a daily or at least regular basis and not right before some task is due, just like learning a \"real\" language."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### The Maker's Schedule"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "[Y Combinator](https://www.ycombinator.com/)'s co-founder [Paul Graham](https://en.wikipedia.org/wiki/Paul_Graham_%28programmer%29) wrote a very popular and often cited [article](http://www.paulgraham.com/makersschedule.html) where he divides every person into belonging to one of two groups:\n",
+    "\n",
+    "- **Managers**: People that need to organize things and command others (like a \"boss\"). Their schedule is usually organized by the hour or even by 30 minute intervals.\n",
+    "- **Makers**: People that create things (like programmers, artists, or writers). Such people think in half days or full days.\n",
+    "\n",
+    "Have you ever wondered why so many tech nerds work all the nights and sleep during \"weird\" hours? This is mainly because many programming related tasks require a certain \"flow\" state of one's mind. This is hard to achieve when one can get interupted, even if it is only for one short question. Graham describes that only knowing that one has an appointment in three hours can cause a programmer to not get into a flow state.\n",
+    "\n",
+    "As a result, do not set aside a certain amount of time for learning something but rather plan in an **entire evening** or a **rainy Sunday** where you can work on a problem in an **open end** setting. And do not be surprised any more to hear a \"I looked at it over the weekend\" from a programmer."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Phase Iteration - The $\\pi$ Rule"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "When being asked the above question, most programmers will answer something that can be classified into one of two broader groups.\n",
+    "\n",
+    "**1) Toy Problem / Case Study / Prototype**: Pick some problem that you want to write a programatic solution for, break it down into smaller packages, and solve them \"backwards\".\n",
+    "\n",
+    "**2) Books / Video Tutorials / Courses**: Research the best book / blog post / video tutorial for something and work it through from start to end.\n",
+    "\n",
+    "The truth is that you need to iterate between these two phases.\n",
+    "\n",
+    "Building a prototype will always reveal issues no book or tutorial can think of before. Data is never clean as it comes. Some algorithm from a text book must be adapted to a very specific but important aspect of a case study. It is important to learn to \"ship a product\", i.e., to finish some project to the very end because only then you will have looked at all the aspects.\n",
+    "\n",
+    "The major downside of this approach is that you likely learn bad \"patterns\" as whatever you learn is overfitted to the case and you do not get the big picture or mental concepts behind a solution. This is a gap well written books can fill in (e.g., check the Python / Programming books by [Packt](https://www.packtpub.com/packt/offers/free-learning/) or [O’Reilly](https://www.oreilly.com/))."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Contents"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "**Part 1: Expressing Logic**\n",
+    "\n",
+    "- What is a programming language?\n",
+    "  1. Structure of a Program\n",
+    "- What kind of words exist?\n",
+    "  2. Variables, Expressions, Statements, & Comments\n",
+    "  3. Functions\n",
+    "- How can we form sentences from words?\n",
+    "  4. Conditionals\n",
+    "  5. Iteration"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "**Part 2: Managing Data**\n",
+    "\n",
+    "- How is data stored in memory?\n",
+    "  6. Numbers\n",
+    "  7. Text\n",
+    "  8. Sequences\n",
+    "  9. Mappings & Sets\n",
+    "- How can we create our own data types?\n",
+    "  10. Classes & Instances"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "## xkcd Comic"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "As with every good lecture, there always has to be a [xkcd](https://xkcd.com/353/) comic somewhere."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import antigravity"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "<img src=\"static/xkcd.png\" width=\"30%\">"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  },
+  "livereveal": {
+   "auto_select": "code",
+   "auto_select_fragment": true,
+   "scroll": true,
+   "theme": "serif"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": false,
+   "sideBar": true,
+   "skip_h1_title": true,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {
+    "height": "calc(100% - 180px)",
+    "left": "10px",
+    "top": "150px",
+    "width": "384px"
+   },
+   "toc_section_display": false,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
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From 318a5a8dd39a4ab68f3a9fcbdf3711bc4630b357 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Mon, 16 Sep 2019 10:56:41 +0200
Subject: [PATCH 04/10] Add a requirements.txt file

This file makes it easier to install all dependencies for users without
poetry installed
---
 requirements.txt | 56 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 56 insertions(+)
 create mode 100644 requirements.txt

diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..41753e1
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,56 @@
+appdirs==1.4.3
+attrs==19.1.0
+backcall==0.1.0
+black==18.9b0
+blackcellmagic==0.0.2
+bleach==3.1.0
+Click==7.0
+decorator==4.4.0
+defusedxml==0.6.0
+entrypoints==0.3
+ipykernel==5.1.2
+ipython==7.8.0
+ipython-genutils==0.2.0
+ipywidgets==7.5.1
+jedi==0.15.1
+Jinja2==2.10.1
+jsonschema==3.0.2
+jupyter==1.0.0
+jupyter-client==5.3.2
+jupyter-console==6.0.0
+jupyter-contrib-core==0.3.3
+jupyter-contrib-nbextensions==0.5.1
+jupyter-core==4.5.0
+jupyter-highlight-selected-word==0.2.0
+jupyter-latex-envs==1.4.6
+jupyter-nbextensions-configurator==0.4.1
+lxml==4.4.1
+MarkupSafe==1.1.1
+mistune==0.8.4
+nbconvert==5.6.0
+nbformat==4.4.0
+notebook==6.0.1
+pandocfilters==1.4.2
+parso==0.5.1
+pexpect==4.7.0
+pickleshare==0.7.5
+prometheus-client==0.7.1
+prompt-toolkit==2.0.9
+ptyprocess==0.6.0
+Pygments==2.4.2
+pyrsistent==0.15.4
+python-dateutil==2.8.0
+PyYAML==5.1.2
+pyzmq==18.1.0
+qtconsole==4.5.5
+rise==5.5.1
+Send2Trash==1.5.0
+six==1.12.0
+terminado==0.8.2
+testpath==0.4.2
+toml==0.10.0
+tornado==6.0.3
+traitlets==4.3.2
+wcwidth==0.1.7
+webencodings==0.5.1
+widgetsnbextension==3.5.1

From 33d6d91c9acffcea45dc4a1f2caca8036adb9e67 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Mon, 16 Sep 2019 10:58:33 +0200
Subject: [PATCH 05/10] Add course info to README.md

- course description (objective & prerequisites)
- installation notes for Python & third-party packages
---
 README.md | 140 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 140 insertions(+)

diff --git a/README.md b/README.md
index 6eece6b..4fd2b52 100644
--- a/README.md
+++ b/README.md
@@ -1 +1,141 @@
 # An Introduction to Python and Programming
+
+The purpose of this repository is to serve as an interactive "book" for a
+thorough introductory course on programming in the
+**[Python](https://www.python.org/)** language.
+
+The course's **main goal** is to **prepare** the student for **further
+studies** in the "field" of **data science**.
+
+The "chapters" are written in [Jupyter notebooks](https://jupyter-notebook.readthedocs.io/en/stable/)
+which are a de-facto standard for exchanging code and results among data
+science professionals and researchers.
+As such they can be viewed in a plain web browser:
+
+- [00 - Start up](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/00_start_up.ipynb)
+
+However, it is recommended that students **install Python and Jupyter
+locally** and run the code in the notebooks on their own.
+This way, the student can play with the code and learn more efficiently.
+Precise **installation instructions** are either in the [00th notebook](
+https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/00_start_up.ipynb)
+or further below.
+
+Feedback is encouraged and will be incorporated.
+Open an issue in the [issues tracker](https://github.com/webartifex/intro-to-python/issues)
+or initiate a [pull request](https://help.github.com/en/articles/about-pull-requests)
+if you are familiar with the concept.
+
+
+## Prerequisites
+
+To be suitable for *total beginners*, there are *no* formal prerequisites.
+It is only expected that the student has:
+
+- a *solid* understanding of the **English language**,
+- knowledge of **basic mathematics** from high school,
+- the ability to **think conceptually** and **reason logically**, and
+- the willingness to **invest 2-4 hours a day for a month**.
+
+
+## Installation
+
+To follow this course, a working installation of **Python 3.6** or higher is
+expected.
+
+A popular and beginner friendly way is to install the [Anaconda Distribution](
+https://www.anaconda.com/distribution/) that not only ships Python but comes
+pre-packaged with a lot of third-party libraries from the so-called
+"scientific stack".
+Just go to the [download](https://www.anaconda.com/distribution/#download-section)
+section and install the latest version (i.e., *2019-07* with Python 3.7 at the
+time of this writing) for your operating system.
+
+Then, among others, you will find an entry "Jupyter Notebook" in your start
+menu like below.
+Click on it and a new tab in your web browser will open where you can switch
+between folders as you could in your computer's default file browser.
+
+<img src="static/anaconda.png" width="50%">
+
+To download the course's materials as a ZIP file, click on the green "Clone or
+download" button on the top right on this website.
+Then, unpack the ZIP file into a folder of your choosing (ideally somewhere
+within your personal user folder so that the files show up right away).
+
+
+### Alternative Installation
+
+Python can also be installed in a "pure" way as obtained from its core
+development team (i.e., without any third-party packages installed).
+However, this is somewhat too "advanced" for a beginner as it involves working
+with a terminal emulator, which looks similar to the picture below and is
+used without a mouse by typing commands into it.
+
+<img src="static/terminal.png" width="50%" align="center">
+
+Assuming that you already have a working version of Python 3.6 or higher
+installed (cf., the official [download page](https://www.python.org/downloads/)),
+the following summarizes the commands to be typed into a terminal emulator to
+get the course materials up and running on a local machine without Anaconda.
+You are then responsible for understanding the concepts behind them.
+
+First, the [git](https://git-scm.com/) command line tool is a more professional
+way of "cloning" the course materials as compared to downloading them in a ZIP
+file.
+
+- `git clone https://github.com/webartifex/intro-to-python.git`
+
+This creates a new folder *intro-to-python* with all the materials of this
+repository in it.
+
+Inside this folder, it is recommended to create a so-called **virtual
+environment** with Python's [venv](https://docs.python.org/3/library/venv.html)
+module.
+This must only be done the first time.
+A virtual environment is a way of *isolating* the third-party packages
+installed by different projects, which is considered a best practice.
+
+- `python -m venv venv`
+
+The second *venv* is the environment's name and by convention often chosen to
+be *venv*.
+However, it could be another name as well.
+
+From then on, each time you want to resume work, go back into the
+*intro-to-python* folder inside your terminal and "activate" the virtual
+environment (*venv* is the name chosen before).
+
+- `source venv/bin/activate`
+
+This may change how the terminal's [command prompt](https://en.wikipedia.org/wiki/Command-line_interface#Command_prompt)
+looks.
+
+[poetry](https://poetry.eustace.io/docs/) and [virtualenvwrapper](https://virtualenvwrapper.readthedocs.io/en/latest/)
+are popular tools to automate the described management of virtual environments.
+
+After activation for the first time, you must install the project's
+**dependencies** (= the third-party packages needed to run the code), most
+notably [Jupyter](https://pypi.org/project/jupyter/) in this project (the
+"python -m" is often left out; if you have poetry installed, you may just
+type `poetry install` instead).
+
+- `python -m pip install -r requirements.txt`
+
+
+With everything installed, you can now do the equivalent of clicking the
+"Jupyter Notebook" entry in your start menu.
+
+- `jupyter notebook`
+
+This opens a new tab in your web browser just as above.
+
+
+## About the Author
+
+Alexander Hess is a PhD student at the Chair of Logistics Management at the
+[WHU - Otto Beisheim School of Management](https://www.whu.edu) where he
+conducts research on urban delivery platforms and teaches an introductory
+course on Python (cf., [course listing](https://vlv.whu.edu/campus/all/event.asp?objgguid=0xE57C2715B01B441AAFD3E79AA05CACCF&from=vvz&gguid=0x6A2B0ED5B2B949E69957A2099E7DE2F1&mode=own&tguid=0x3980A9BBC3BF4A638E977F2DC163F44B&lang=en)).
+
+Connect him on [LinkedIn](https://www.linkedin.com/in/webartifex).

From b5382758eab7febe096c0c5bfb324490b9f612a8 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Thu, 19 Sep 2019 16:03:10 +0200
Subject: [PATCH 06/10] Add initial version of notebook 01

---
 01_elements_of_a_program.ipynb | 3708 ++++++++++++++++++++++++++++++++
 1 file changed, 3708 insertions(+)
 create mode 100644 01_elements_of_a_program.ipynb

diff --git a/01_elements_of_a_program.ipynb b/01_elements_of_a_program.ipynb
new file mode 100644
index 0000000..66c8e64
--- /dev/null
+++ b/01_elements_of_a_program.ipynb
@@ -0,0 +1,3708 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "\n",
+    "# Chapter 1: Elements of a Program"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Do you remember how you first learned to speak in your mother tounge? Probably not. No one's memory goes back that far. Your earliest memory as a child should probably be around the age of three or four years old when you could already say simple things and interact with your environment. Although you did not know any grammar rules yet, other people just understood what you said. Well, most of the time.\n",
+    "\n",
+    "It is intuitively best to take the very mindset of a small child when learing a foreign language and we do so for learning the Python language as well. This first chapter introduces simplistic examples and we better just accept them as they are without knowing any of the \"grammar\" rules yet. Then, we analyze them in parts and slowly build up our understanding.\n",
+    "\n",
+    "Consequently, if parts of this chapter do not make sense right away, let's not worry too much. Besides introducing some basics (that we need to understand), it also serves as an outlook for what is to come. So, many terms and concepts referenced here will be covered in great detail in following chapters."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Example: Average of a Subset of Numbers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "As our introductory example, we want to calculate the average of all even numbers from one through ten.\n",
+    "\n",
+    "While we could come up with an [analytical solution](https://math.stackexchange.com/questions/935405/what-s-the-difference-between-analytical-and-numerical-approaches-to-problems/935446#935446) (i.e., derive some equation with \"pen and paper\" from, e.g., one of [Faulhaber's formulas](https://en.wikipedia.org/wiki/Faulhaber%27s_formula)), we instead solve the task programmatically.\n",
+    "\n",
+    "We start by creating a **list** called `numbers` that holds all the individual numbers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "scrolled": true,
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To verify that something happened in our computer's memory, we simply **reference** `numbers` and observe that Python indeed knows about."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "numbers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "So far, so good. Let's see how the desired result could be expressed as a **sequence of instructions** in Python.\n",
+    "\n",
+    "Intuitively, the line `for number in numbers` describes a \"loop\" over all the numbers in the `numbers` list, one at a time.\n",
+    "\n",
+    "The `if number % 2 == 0` may look disturbing at first sight. Both the `%` and `==` must have an unintuitive meaning here. Luckily, the **comment** in the same line after the `#` symbol has the answer: The program only does something if the current `number` is even.\n",
+    "\n",
+    "In particular, it increases `count` by $1$ and adds the current `number` onto the [running](https://en.wikipedia.org/wiki/Running_total) `total`. Both `count` and `number` were initially set to $0$ and the single `=` reads as \"... is *set* equal to ...\". It could not indicate a mathematical equation as, for example, `count` is generally not equal to `count + 1`.\n",
+    "\n",
+    "Lastly, the `average` is calculated as the ratio of the final **values** of `total` and `count`. Overall, we divide the sum of all even numbers by the count of all even numbers, which is exactly what we are looking for.\n",
+    "\n",
+    "We also observe how the lines of code \"within\" the `for` and `if` **statements** are *indented* and *aligned* with multiples of four spaces: This shows immediately how the lines relate to each other."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "count = 0  # initialize variables to keep track of the sum\n",
+    "total = 0  # so far and the count of the even numbers\n",
+    "\n",
+    "for number in numbers:\n",
+    "    if number % 2 == 0:  # only look at even numbers\n",
+    "        count = count + 1\n",
+    "        total = total + number\n",
+    "\n",
+    "average = total / count"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Yet, we do not see any **output** and obtain the value of `average` by simply referencing it again."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6.0"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "average"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Generating Cell Output in a Jupyter Notebook"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Note how only two of the previous four code cells generate an **output** while two remained \"silent\" (i.e., there is no \"**Out[...]**\" after running the cell).\n",
+    "\n",
+    "By default, Jupyter notebooks show the value of a cell's last so-called **expression**. This output can be suppressed by ending the last line with a semicolon.\n",
+    "\n",
+    "To visualize something before the end of the cell, we can use the [print()](https://docs.python.org/3/library/functions.html#print) built-in function."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'I am feeling great :-)'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"Hello, World!\"\n",
+    "\"I am feeling great :-)\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "\"I am invisible!\";"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hello, World!\n",
+      "I am feeling great :-)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Hello, World!\")\n",
+    "print(\"I am feeling great :-)\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## (Arithmetic) Operators"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Python comes with basic mathematical operators built in. **Operators** are built-in **tokens** that have a special meaning to the Python interpreter. Most operators either \"operate\" with the object immediately following them (= **unary** operators; e.g., negation) or somehow \"process\" the two objects \"around\" them (= **binary** operators; e.g., addition). But we will see some exceptions from that as well.\n",
+    "\n",
+    "By definition, operators have **no** permanent **side effects** in the computer's memory. Although the code cells in this section do indeed lead to *new* objects being created in memory, they are immediately \"forgotten\" as they are not stored in a **variable** (like `numbers` above). We will revisit this idea further below when we compare **expressions** with **statements**.\n",
+    "\n",
+    "Let's see some examples of operators. We start with the binary `+` and the `-` operators for addition and subtraction. Binary operators resemble what mathematicians call [infix notation](https://en.wikipedia.org/wiki/Infix_notation) and have the expected meaning."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "90"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "77 + 13"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "101 - 93"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The `-` operator can be used as a unary operator as well. Then it just flips the sign of a number."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-1"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "-1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "When we compare the output of the `*` and `/` operators for multiplication and division, we note the subtle difference between the $42$ and the $42.0$. This is a first illustration of the concept of a **data type**."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2 * 21"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42.0"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "84 / 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The so-called **floor division operator** `//` always rounds down to the next integer and is thus also called **integer division operator**. This is a first example of an operator we commonly do not know from high school mathematics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "84 // 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "85 // 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To obtain the remainder of a division, we can use the **modulo operator** `%`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "85 % 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Note that the remainder is $0$ if a number is divisable by another."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "49 % 7"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Modulo division can be useful if we, for example, need to get the last couple of digits of a large integer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "123 % 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "23"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "123 % 100"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The [divmod()](https://docs.python.org/3/library/functions.html#divmod) built-in **function** combines the integer and modulo divisions into one operation. However, this is not an operator any more (but a function). Also observe that [divmod()](https://docs.python.org/3/library/functions.html#divmod) returns a \"pair\" of integers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(4, 2)"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "divmod(42, 10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Raising a number to a power is performed with the **exponentiation operator** `**`. Note that this is different from the `^` operator many other programming languages might use and that also exists in Python with a *different* meaning."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2 ** 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The normal order of precedence from mathematics applies (i.e., \"PEMDAS\" rule) but parentheses help avoid confusion."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "18"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "3 ** 2 * 2 "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The parentheses here serve as a **delimiter**."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "18"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(3 ** 2) * 2  # same result as before but much clearer code"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "81"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "3 ** (2 * 2)  # different result"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Some programmers also use \"style\" conventions. For example, we can play with the **whitespace**, which is an umbrella term that refers to any non-printable sign like spaces, tabs, or the like. However, parentheses convey a much clearer picture."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "18"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "3**2 * 2  # bad style; it is better to use parentheses here"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "There are plenty more mathematical and non-mathematical operators that are introduced throughout this book together with the concepts they implement or support. Some of these are already shown in the next section."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Objects vs. Values vs. Types"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Python is a so-called **object-oriented** language, which is a paradigm of organizing a program's memory.\n",
+    "\n",
+    "An **object** can be viewed as a \"bag\" of $0$s and $1$s in a distinct memory location that not only portrayes the idea of a certain **value** but also has some associated rules as to how this value is treated and may be worked with.\n",
+    "\n",
+    "An object *always* has **three** main characteristics. Let's look at the following examples and work them out."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a = 789\n",
+    "b = 42.0\n",
+    "c = \"Python rocks\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Identity / \"Memory Location\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The [id()](https://docs.python.org/3/library/functions.html#id) built-in function shows an object's \"address\" in memory."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "140382247181072"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "id(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "140382247352144"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "id(b)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "140382247028656"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "id(c)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "These addresses are really not that meaningful for anything other than checking if two variables actually point at the same object. This may be helpful as different objects can of course have the same value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "d = 789"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "`a` and `d` indeed have the same value as can be checked with the **equality operator** `==`. The resulting `True` (and the `False` below) is yet another data type, a so-called **boolean**."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a == d"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "On the contrary, `a` and `d` are different objects as can be seen with the **identity operator** `is`: they are stored at seperate addresses in the memory."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a is d"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### (Data) Type / \"Behavior\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The [type()](https://docs.python.org/3/library/functions.html#type) built-in function shows an object's type. For example, `a` is an integer (`int`) while `b` is a so-called [floating-point number](https://en.wikipedia.org/wiki/Floating-point_arithmetic) (`float`)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "int"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "float"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(b)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Different types imply different behaviors for the objects. The `b` object, for example, can be \"asked\" if it could also be interpreted as an `int` with the [is_integer()](https://docs.python.org/3/library/stdtypes.html#float.is_integer) \"functionality\" that comes with every `float` object.\n",
+    "\n",
+    "Formally, we call such type-specific functionalities **methods** (to differentiate them from functions) and we will eventually fully introduce them when we talk about object-orientation in Chapter 10. For now, it suffices to know that we can access them using the **dot operator** `.`. Of course `b` could be converted into an `int`, which the boolean value `True` tells us.\n",
+    "\n",
+    "Also note how the `.` operator is neiter a unary nor a binary operator as specified above."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b.is_integer()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "For an `int` object this [is_integer()](https://docs.python.org/3/library/stdtypes.html#float.is_integer) check does not make sense as we know it is an `int` to begin with. This is why we see the `AttributeError` below as `a` does not even know what `is_integer()` means."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'int' object has no attribute 'is_integer'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-35-7db0a38aefcc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m: 'int' object has no attribute 'is_integer'"
+     ]
+    }
+   ],
+   "source": [
+    "a.is_integer()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The `c` object is a so-called **string** type `str`, which we can view as Python's way of representing \"text\". Strings also come with their own behaviors, for example, to convert a text to lower or upper case."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "str"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'python rocks'"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c.lower()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'PYTHON ROCKS'"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c.upper()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Python Rocks'"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c.title()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Almost trivially, every object also has a value to which it \"evaluates\" when referenced. We think of the value as the **conceptual idea** of what the $0$s and $1$s in memory mean to us humans. A machine does not really see beyond the $0$s and $1$s. At least, not yet.\n",
+    "\n",
+    "For built-in data types, Python prints out the object's value in a so-called **[literal](https://docs.python.org/3/reference/lexical_analysis.html#literals)** notation. This basically means that we can just copy & paste the output back into a code cell to create a *new* object with the *same* value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "789"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42.0"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "In this book, we follow the convention of creating strings with **double quotes** `\"` instead of the **single quotes** `'` to which Python defaults in its literal output. Both types of quotes can be used interchangebly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Python rocks'"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Formal vs. Natural Languages"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Just like the language of mathematics is good at expressing relationships among numbers and symbols, any programming language is just a formal language that is good at expressing computations.\n",
+    "\n",
+    "Formal languages come with their own \"grammatical rules\" called **syntax**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Syntax Errors"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "If we do not follow the rules, the code cannot be **parsed** correctly, i.e., the program does not even start to run but raises a **syntax error** (indicated as `SyntaxError`). Computers are very dumb in the sense that the slightest syntax error leads to the machine not understanding our code.\n",
+    "\n",
+    "For example, if we wanted to write an accounting program that adds up currencies, we would have to model dollar prices as `float` objects as the dollar symbol cannot be read by Python."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "SyntaxError",
+     "evalue": "invalid syntax (<ipython-input-43-cafa82e54b9c>, line 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-43-cafa82e54b9c>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    3.99 $ + 10.40 $\u001b[0m\n\u001b[0m         ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+     ]
+    }
+   ],
+   "source": [
+    "3.99 $ + 10.40 $"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Python requires certain symbols at certain places (e.g., a `:` is missing here) ..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "SyntaxError",
+     "evalue": "invalid syntax (<ipython-input-44-499e4d0d0cbb>, line 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-44-499e4d0d0cbb>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    for number in numbers\u001b[0m\n\u001b[0m                         ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+     ]
+    }
+   ],
+   "source": [
+    "for number in numbers\n",
+    "    print(number)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "... and relies on whitespace / indentation unlike many other programming languages. A `IndentationError` is just a special type of a `SyntaxError`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "IndentationError",
+     "evalue": "expected an indented block (<ipython-input-45-19398c5f89de>, line 2)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-45-19398c5f89de>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m    print(number)\u001b[0m\n\u001b[0m        ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m expected an indented block\n"
+     ]
+    }
+   ],
+   "source": [
+    "for number in numbers:\n",
+    "print(number)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Runtime Errors"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Syntax errors as above are easy to find as the code will not even run to begin with.\n",
+    "\n",
+    "However, there are also so-called **runtime errors** (also called **exceptions**) that occur if the code would run given correct input.\n",
+    "\n",
+    "This example does not work because just like in the \"real\" world, Python does not know how to divide by $0$. The syntactically correct code leads to a `ZeroDivisionError`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "ZeroDivisionError",
+     "evalue": "division by zero",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-46-bc757c3fda29>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
+     ]
+    }
+   ],
+   "source": [
+    "1 / 0"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Semantic Errors"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "So-called **semantic errors**, on the contrary, can be very hard to spot as they do *not* crash the program. The only way to find such errors is to run the program with test input for which we know the answer already and can then verify it. However, testing software is a whole discipline on its own and often very hard to do in practice.\n",
+    "\n",
+    "The cell below copies our introductory example from above with a \"tiny\" error."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {
+    "code_folding": [],
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "count = 0\n",
+    "total = 0\n",
+    "\n",
+    "for number in numbers:\n",
+    "    if number % 2 == 0:\n",
+    "        count = count + 1\n",
+    "        total = total + count  # count is wrong here, it should be number\n",
+    "\n",
+    "average = total / count"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.0"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "average"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Finding errors is is called **debugging**. For the history of the term, check this [link](https://en.wikipedia.org/wiki/Debugging)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Best Practices"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Adhering to just syntax rules is therefore *never* enough. Over time, **best practices** and common **style guides** were created to make it less likely for a developer to mess up a program and also to allow \"onboarding\" him as a contributor to an established code base (often called **legacy code**) faster. These rules are not enforced by Python itself: Badly styled and un-readable code will still run. At the very least, Python programs should be styled according to [PEP 8](https://www.python.org/dev/peps/pep-0008/) and documented \"inline\" (i.e., in the code itself) according to [PEP 257](https://www.python.org/dev/peps/pep-0257/).\n",
+    "\n",
+    "An easier to read version of PEP 8 can be found [here](https://pep8.org/). The video below features a well known \"[Pythonista](https://en.wiktionary.org/wiki/Pythonista)\" talking about the importance of code style."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/jpeg": 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\n",
+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"60%\"\n",
+       "            height=\"300\"\n",
+       "            src=\"https://www.youtube.com/embed/Hwckt4J96dI\"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x7fad49702518>"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import YouTubeVideo\n",
+    "YouTubeVideo(\"Hwckt4J96dI\", width=\"60%\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "For example, while the above code to calculate the average of the even numbers from 1 through 10 is correct, a Pythonista would re-write it in a more \"Pythonic\" way and use the [sum()](https://docs.python.org/3/library/functions.html#sum) and [len()](https://docs.python.org/3/library/functions.html#len) (= \"length\") built-in functions. Pythonic code runs faster in many cases and is less error prone."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "evens = [n for n in numbers if n % 2 == 0]  # example for a so-called list comprehension"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[2, 4, 6, 8, 10]"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "evens"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "average = sum(evens) / len(evens)  # built-in functions are much faster than a for-loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6.0"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "average"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To get a rough overview of the mindsets of a typical Python programmer, check these rules by an early Python core developer that are deemed so important that they are actually included in every Python installation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The Zen of Python, by Tim Peters\n",
+      "\n",
+      "Beautiful is better than ugly.\n",
+      "Explicit is better than implicit.\n",
+      "Simple is better than complex.\n",
+      "Complex is better than complicated.\n",
+      "Flat is better than nested.\n",
+      "Sparse is better than dense.\n",
+      "Readability counts.\n",
+      "Special cases aren't special enough to break the rules.\n",
+      "Although practicality beats purity.\n",
+      "Errors should never pass silently.\n",
+      "Unless explicitly silenced.\n",
+      "In the face of ambiguity, refuse the temptation to guess.\n",
+      "There should be one-- and preferably only one --obvious way to do it.\n",
+      "Although that way may not be obvious at first unless you're Dutch.\n",
+      "Now is better than never.\n",
+      "Although never is often better than *right* now.\n",
+      "If the implementation is hard to explain, it's a bad idea.\n",
+      "If the implementation is easy to explain, it may be a good idea.\n",
+      "Namespaces are one honking great idea -- let's do more of those!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import this"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### Jupyter Notebook Aspects to keep in Mind"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "#### The Order of Code Cells is arbitrary"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Observe that you can run the code cells in a Jupyter notebook in any arbitrary order.\n",
+    "\n",
+    "That means, for example, that a variable defined towards the bottom could accidently be referenced at the top of the notebook. This happens easily if we iteratively built a program and go back and forth between cells.\n",
+    "\n",
+    "As a good practice, it is recommended to click on \"Kernel\" > \"Restart & Run All\" in the navigation bar once a notebook is finished. That restarts the Python process forgetting any **state** (i.e., all variables) and ensures that the notebook runs top to bottom without any errors the next time it is opened."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "#### Notebooks are linear"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "While this book is built with Jupyter notebooks, it is important to understand that \"real\" programs are almost always just \"linear\" (= top to bottom) sequences of instructions but instead can take many different **flows of execution**.\n",
+    "\n",
+    "At the same time, for a beginner's course it is often easier to just code in a linear fashion.\n",
+    "\n",
+    "In real data science projects one would probably employ a mixed approach and put re-usable code into so-called Python modules (= \\*.py files) and then use Jupyter notebooks to built up a linear report or story line for a business argument to be made."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Variables / Names"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "**Variables** are created with the **assignment statement** `=`. As its name suggests, it is *not* an operator, mainly because of its side effect of making a **name** \"point\" to an object in memory."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a = 20.0\n",
+    "b = 789"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "When referenced, a variable just evaluates to the value of the object it points to. Colloquially, we could say that `a` evaluates to `20.0` here but this would not be an accurate description of what is really going on in memory.\n",
+    "\n",
+    "We will see some more colloquial jargons in this section but should always remind ourselves what we better said instead."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "20.0"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "A variable can be **re-assigned** as often as we wish. Thereby, we could also assign an object of a different type. Because this is allowed, Python is said to be a **dynamically typed** language. On the contrary, a **statically typed** language like C also allows re-assignment but only with objects of the same type. This subtle distinction is one reason why Python is slower at execution than C: As it runs a program, it needs to figure out an object's type each time it is referenced. But as mentioned before, this can be mitigated with third-party libraries."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a = 20"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "20"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "If we want to re-assign a variable while referencing its \"old\" (i.e., current) object, we can also **update** it using a so-called **augmented assignment statement** (*not* operator). This implicitly inserts the current \"value\" as the first token on the right-hand side."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a *= 4  # same as a = a * 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a //= 2  # same as a = a // 2, \"//\" to retain the integer type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a += 2  # same as a = a + 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Variables can be **de-referenced** (i.e., \"deleted\") with the `del` statement. This does *not* \"delete\" the object to which a variable points to. It merely removes the variable from the \"list of all variables\"."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "789"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "del b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "If we refer to an unknown name, a runtime exception occurs, namely a `NameError`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'b' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-66-89e6c98d9288>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'b' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Some names magically exist when we start Python. In this introductory book, we can safely ignore such variables."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'__main__'"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "__name__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To see all defined names, the built-in function [dir()](https://docs.python.org/3/library/functions.html#dir) is helpful."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['In',\n",
+       " 'Out',\n",
+       " 'YouTubeVideo',\n",
+       " '_',\n",
+       " '_10',\n",
+       " '_11',\n",
+       " '_12',\n",
+       " '_13',\n",
+       " '_14',\n",
+       " '_15',\n",
+       " '_16',\n",
+       " '_17',\n",
+       " '_18',\n",
+       " '_19',\n",
+       " '_2',\n",
+       " '_20',\n",
+       " '_21',\n",
+       " '_22',\n",
+       " '_23',\n",
+       " '_24',\n",
+       " '_26',\n",
+       " '_27',\n",
+       " '_28',\n",
+       " '_30',\n",
+       " '_31',\n",
+       " '_32',\n",
+       " '_33',\n",
+       " '_34',\n",
+       " '_36',\n",
+       " '_37',\n",
+       " '_38',\n",
+       " '_39',\n",
+       " '_4',\n",
+       " '_40',\n",
+       " '_41',\n",
+       " '_42',\n",
+       " '_48',\n",
+       " '_49',\n",
+       " '_5',\n",
+       " '_52',\n",
+       " '_54',\n",
+       " '_57',\n",
+       " '_59',\n",
+       " '_63',\n",
+       " '_64',\n",
+       " '_67',\n",
+       " '_8',\n",
+       " '_9',\n",
+       " '__',\n",
+       " '___',\n",
+       " '__builtin__',\n",
+       " '__builtins__',\n",
+       " '__doc__',\n",
+       " '__loader__',\n",
+       " '__name__',\n",
+       " '__package__',\n",
+       " '__spec__',\n",
+       " '_dh',\n",
+       " '_i',\n",
+       " '_i1',\n",
+       " '_i10',\n",
+       " '_i11',\n",
+       " '_i12',\n",
+       " '_i13',\n",
+       " '_i14',\n",
+       " '_i15',\n",
+       " '_i16',\n",
+       " '_i17',\n",
+       " '_i18',\n",
+       " '_i19',\n",
+       " '_i2',\n",
+       " '_i20',\n",
+       " '_i21',\n",
+       " '_i22',\n",
+       " '_i23',\n",
+       " '_i24',\n",
+       " '_i25',\n",
+       " '_i26',\n",
+       " '_i27',\n",
+       " '_i28',\n",
+       " '_i29',\n",
+       " '_i3',\n",
+       " '_i30',\n",
+       " '_i31',\n",
+       " '_i32',\n",
+       " '_i33',\n",
+       " '_i34',\n",
+       " '_i35',\n",
+       " '_i36',\n",
+       " '_i37',\n",
+       " '_i38',\n",
+       " '_i39',\n",
+       " '_i4',\n",
+       " '_i40',\n",
+       " '_i41',\n",
+       " '_i42',\n",
+       " '_i43',\n",
+       " '_i44',\n",
+       " '_i45',\n",
+       " '_i46',\n",
+       " '_i47',\n",
+       " '_i48',\n",
+       " '_i49',\n",
+       " '_i5',\n",
+       " '_i50',\n",
+       " '_i51',\n",
+       " '_i52',\n",
+       " '_i53',\n",
+       " '_i54',\n",
+       " '_i55',\n",
+       " '_i56',\n",
+       " '_i57',\n",
+       " '_i58',\n",
+       " '_i59',\n",
+       " '_i6',\n",
+       " '_i60',\n",
+       " '_i61',\n",
+       " '_i62',\n",
+       " '_i63',\n",
+       " '_i64',\n",
+       " '_i65',\n",
+       " '_i66',\n",
+       " '_i67',\n",
+       " '_i68',\n",
+       " '_i7',\n",
+       " '_i8',\n",
+       " '_i9',\n",
+       " '_ih',\n",
+       " '_ii',\n",
+       " '_iii',\n",
+       " '_oh',\n",
+       " 'a',\n",
+       " 'average',\n",
+       " 'c',\n",
+       " 'count',\n",
+       " 'd',\n",
+       " 'evens',\n",
+       " 'exit',\n",
+       " 'get_ipython',\n",
+       " 'number',\n",
+       " 'numbers',\n",
+       " 'quit',\n",
+       " 'this',\n",
+       " 'total']"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dir()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Who am I? And how many?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "It is important to understand that *several* variables can point to the *same* object in memory. This can be counter-intuitive in the beginning and lead to many hard to track down bugs.\n",
+    "\n",
+    "This makes `b` point to whatever object `a` points to."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "b = a  # this is different from b == a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "For \"simple\" types like `int` or `float` this will never cause confusion.\n",
+    "\n",
+    "Let's \"change the value\" of `a`. Really, let's create a *new* `123` object and make `a` point to it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a = 123"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "123"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "`b` \"is still the same\" as before. Really, `b` still points to the same object as before."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "However, if a name points to an object of a more \"complex\" object, for example, of type `list`, \"weird\" things can happen."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "x = [1, 2, 3]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "list"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "y = x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Let's change the first element of `x`.\n",
+    "\n",
+    "Chapter 7 discusses lists in more depth. For now, let's just view a list as some sort of **container** object that holds an arbitrary number of pointers to other objects and treat the brackets `[...]` attached to `x` as just another operator, called the **indexing operator**. `x[0]` instructs Python to first \"follow\" the pointer from the \"global\" directory of all names to the list object. Then, it follows the first pointer it finds there to the `1` object. The indexing operator must be an operator as we merely read the first element an do not change anything in memory.\n",
+    "\n",
+    "Note how Python **begins counting at 0**. This is not the case for many other languages, for example, MATLAB, R, or Stata. To understand why this makes sense, see this short [note](https://www.cs.utexas.edu/users/EWD/transcriptions/EWD08xx/EWD831.html) by one of the all-time greats in computer science, the late [Edsger Dijkstra](https://en.wikipedia.org/wiki/Edsger_W._Dijkstra)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "To change the first entry in the list, we use the assignment statement `=` again. Here, this does actually *not* create a *new* variable but only changes the object to which the first pointer in the `x` list points to. As we only change parts of the `x` list, we say that we change its **state**."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "x[0] = 99"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[99, 2, 3]"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The changes made to `x` can also be seen through the `y` variable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[99, 2, 3]"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The illustrated difference in behavior has to do with the fact that integers and floats are **immutable** types while lists are **mutable**.\n",
+    "\n",
+    "In the first case, an object cannot be changed \"in place\" once it is created in memory. When we assigned `123` to the already existing `a`, we actually did not change the $0$s and $1$s in the object `a` pointed to before the assignment but created a new integer object and made `a` point to it while the `b` variable is *not* affected.\n",
+    "\n",
+    "In the second case, `x[0] = 99` creates a *new* integer object `99` and merely changes the first pointer in the `x` list.\n",
+    "\n",
+    "In general, the assignment statement (re-)creates a variable and makes it point to whatever object is on the right-hand side *if* the left-hand side is a *pure* variable name. Otherwise, it changes some object on the left-hand side (this is strictly not a must but we should expect it).\n",
+    "\n",
+    "In the beginning, visualizing the memory with a tool like [PythonTutor](http://pythontutor.com/visualize.html#code=x%20%3D%20%5B1,%202,%203%5D%0Ay%20%3D%20x%0Ax%5B0%5D%20%3D%2099%0Adel%20x,%20y%0Ax%20%3D%20%5B1,%202,%203%5D%0Ay%20%3D%20x.copy%28%29%0Ax%5B0%5D%20%3D%2099&cumulative=false&curInstr=0&heapPrimitives=nevernest&mode=display&origin=opt-frontend.js&py=3&rawInputLstJSON=%5B%5D&textReferences=false) will assist in understanding what is going on."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Naming Conventions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "**[Phil Karlton](https://skeptics.stackexchange.com/questions/19836/has-phil-karlton-ever-said-there-are-only-two-hard-things-in-computer-science)** famously noted (during his time at [Netscape](https://en.wikipedia.org/wiki/Netscape)):\n",
+    "\n",
+    "> \"There are two hard problems in computer science: naming things and cache invalidation ... and off-by-one errors.\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Variable names may contain upper and lower case letters, numbers, and underscores (\"\\_\") and be as long as we want them to be. However, they must not begin with a number. Also, they must not be any of Python's **[keywords](https://docs.python.org/3/reference/lexical_analysis.html#keywords)**.\n",
+    "\n",
+    "Variable names are usually chosen such that they do not need any more documentation and are self-explanatory. A very common convention is to use so-called **[snake\\_case](https://en.wikipedia.org/wiki/Snake_case)**: Keep everything lowercase and use underscores to seperate words.\n",
+    "\n",
+    "See this [link](https://en.wikipedia.org/wiki/Naming_convention_%28programming%29#Python_and_Ruby) for a comparison of different naming conventions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "#### Good examples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "pi = 3.14"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "answer_to_everything = 42"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "my_name = \"Alexander\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "work_address = \"Burgplatz 2, Vallendar\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "#### Bad examples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "PI = 3.14  # unless used as a \"global\" constant"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "answerToEverything = 42  # this is a style used in languages like Java"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "name = \"Alexander\"  # name of what ?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "SyntaxError",
+     "evalue": "can't assign to operator (<ipython-input-89-dfc191b6a91a>, line 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-89-dfc191b6a91a>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    address@work = \"Burgplatz 2, Vallendar\"\u001b[0m\n\u001b[0m                                           ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m can't assign to operator\n"
+     ]
+    }
+   ],
+   "source": [
+    "address@work = \"Burgplatz 2, Vallendar\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "If a variable name collides with a built-in name, just add a trailing underscore."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "type_ = \"student\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Variables with leading and trailing double underscores (referred to as **dunder** in Python \"slang\") are used for important built-in variables. Do *not* use this style for custom variables!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'__main__'"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "__name__"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "### The big Picture"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "This PyCon talk by [Ned Batchelder](https://nedbatchelder.com/) (a software engineer at [edX](https://www.edx.org/) and the organizer of the [Python User Group](https://www.meetup.com/bostonpython/) in Boston) summarizes all situations where some sort of variable assignment is done in Python. The content is intermediate and therefore it is ok if you do not understand everything at this point. However, the contents should be known by everyone claiming to be a Pythonista."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
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+      "text/html": [
+       "\n",
+       "        <iframe\n",
+       "            width=\"60%\"\n",
+       "            height=\"300\"\n",
+       "            src=\"https://www.youtube.com/embed/_AEJHKGk9ns\"\n",
+       "            frameborder=\"0\"\n",
+       "            allowfullscreen\n",
+       "        ></iframe>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.YouTubeVideo at 0x7fad49f57320>"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import YouTubeVideo\n",
+    "YouTubeVideo(\"_AEJHKGk9ns\", width=\"60%\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Expressions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "An **expression** is any syntactically correct **combination** of **variables** and **literals** with **operators**. See the [language reference](https://docs.python.org/3/reference/expressions.html) for a full list.\n",
+    "\n",
+    "In simple words, anything that can be used on the right-hand side of an assignment statement without creating a `SyntaxError` is an expression.\n",
+    "\n",
+    "What we said about individual operators above (namely that they have *no* side effects) should have been put here to begin with. The examples in the section on operators were actually all expressions.\n",
+    "\n",
+    "The simplest possible expression contains only one variable (or literal)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "123"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "165"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a + b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The definition of an expression is **recursive**. So here the sub-expression `a + b` is combined with the literal `3` by the operator `**` to form another expression."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4492125"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(a + b) ** 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "As before, the bracket operator `[...]` can be used for indexing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y[2]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "When not used as a **delimiter**, parentheses also constitute an operator, namely the **call operator** `(...)`. We have seen this syntax above when we \"called\" (i.e., executed) built-in functions and methods."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "104"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "### Operator Overloading"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Python **overloads** certain operators. For example you can not only add numbers but also strings. This is called **string concatenation**."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "greeting = \"Hi \"\n",
+    "audience = \"class\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Hi class'"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "greeting + audience"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "Duplicate strings using multiplication."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi Hi '"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b * greeting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Statements"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "A **statement** is anything that changes the state of the program's memory or has some other side effect. Statements do not just evaluate to a value like expressions; instead, they create or change values. See the [language reference](https://docs.python.org/3/reference/simple_stmts.html) for a full list.\n",
+    "\n",
+    "Most notably of course are the `=` and `del` statements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "a = 123"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "del a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "The [print()](https://docs.python.org/3/library/functions.html#print) function is regarded a \"statement\" as well. In fact, it used to be a real statement in Python 2 and has all the necessary properties. It is a bit of a corner case as expressions are also \"printed\" in a Jupyter notebook when evaluated last in a code cell."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "I change the display of the computer\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"I change the display of the computer\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "## Comments"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "We can use the `#` symbol to write comments in plain English right into the code.\n",
+    "\n",
+    "As a good practice, comments should not describe what happens (this should be evident by reading the code, otherwise it is most likely badly written code) but why something happens.\n",
+    "\n",
+    "Comments can be either added at the end of a line of code (by convention seperated with two spaces) or be on a line on their own."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "distance = 891  # in meters\n",
+    "elapsed_time = 93  # in seconds\n",
+    "# Calculate the speed in km/h.\n",
+    "speed = 3.6 * distance / elapsed_time"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "But let's think wisely if we really need to use a comment.\n",
+    "The second cell is a lot more \"Pythonic\"."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "fragment"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "seconds = 365 * 24 * 60 * 60  # = seconds in the year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {
+    "slideshow": {
+     "slide_type": "-"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "seconds_per_year = 365 * 24 * 60 * 60"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "## TL;DR"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "We end each chapter with a summary of the main points. The essence in this first chapter is that just like a sentence in a real language like English can be decomposed into its parts (subject, predicate, objects, ...) the same can be done with programming languages."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "skip"
+    }
+   },
+   "source": [
+    "- program\n",
+    "  - **sequence** of **instructions** that specify how to perform a computation (= a \"recipe\")\n",
+    "  - a \"black box\" that processes **inputs** and transforms them into meaningful **outputs** in a *deterministic* way\n",
+    "  - conceptually similar to a mathematical function $f$ that maps some input $x$ to an output $y = f(x)$\n",
+    "\n",
+    "\n",
+    "- input (examples)\n",
+    "  - (numeric) data from a CSV file\n",
+    "  - text entered on a command line\n",
+    "  - (relational) data obtained from a database\n",
+    "  - ...\n",
+    "\n",
+    "\n",
+    "- output (examples)\n",
+    "  - result of a computation (e.g., statistical summary of a sample dataset)\n",
+    "  - a \"side effect\" (e.g., a transformation of raw input data into cleaned data)\n",
+    "  - a physical \"behavior\" (e.g., a robot moving or a document printed)\n",
+    "  - ...\n",
+    "\n",
+    "\n",
+    "- objects\n",
+    "  - distinct and well-contained areas / parts of the memory that hold the actual data\n",
+    "  - the concept by which Python manages the memory for us\n",
+    "  - can be classified into objects of the same **type** (i.e., same abstract \"structure\" but different concrete data)\n",
+    "  - built-in objects (incl. **literals**) vs. user-defined objects (cf., Chapter 8)\n",
+    "  - e.g., `1`, `1.0`, and `\"one\"` are three different objects of distinct types that are also literals (i.e., by the way we type them into the command line Python knows what the value and type are)\n",
+    "\n",
+    "\n",
+    "- variables\n",
+    "  - storage of intermediate **state**\n",
+    "  - **names** that point to **objects** in **memory**\n",
+    "  - e.g., `x = 1` creates the variable `x` that points to the object `1`\n",
+    "\n",
+    "\n",
+    "- operators\n",
+    "  - special built-in symbols that perform operations with objects in memory\n",
+    "  - usually operate with one or two objects\n",
+    "  - e.g., addition `+`, subtraction `-`, multiplication `*`, and division `/` all take two objects whereas the negation `-` only takes one\n",
+    "\n",
+    "\n",
+    "- expressions\n",
+    "  - **combinations** of **variables** (incl. **literals**) and **operators**\n",
+    "  - do *not* change the involved objects / state of the program\n",
+    "  - evaluate to a **value** (i.e., the \"result\" of the expression, usually a new object)\n",
+    "  - e.g., `x + 2` evaluates to the (new) object `3` and `1 - 1.0` to `0.0`\n",
+    "\n",
+    "\n",
+    "- statements\n",
+    "  - instructions that **\"do\" something** and **have side effects** in memory\n",
+    "  - re-map names to different objects and *change* the state of the program\n",
+    "  - usually work with expressions\n",
+    "  - e.g., the assignment statement `=` makes a name point to an object\n",
+    "\n",
+    "\n",
+    "- comments\n",
+    "  - **prose** supporting a **human's understanding** of the program\n",
+    "  - ignored by Python\n",
+    "\n",
+    "\n",
+    "- functions (cf., Chapter 2)\n",
+    "  - named sequences of instructions\n",
+    "  - the smaller parts in a larger program\n",
+    "  - make a program more modular and thus easier to understand\n",
+    "\n",
+    "\n",
+    "- flow control (cf., Chapter 3)\n",
+    "  - expression of **logic** or an **algorithm**\n",
+    "  - conditional execution of a small **branch** within a program (i.e., `if`-statements)\n",
+    "  - repetitive execution of parts of a program (i.e., `for`-loops and `while`-loops)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  },
+  "livereveal": {
+   "auto_select": "code",
+   "auto_select_fragment": true,
+   "scroll": true,
+   "theme": "serif"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": false,
+   "sideBar": true,
+   "skip_h1_title": true,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {
+    "height": "calc(100% - 180px)",
+    "left": "10px",
+    "top": "150px",
+    "width": "303.333px"
+   },
+   "toc_section_display": false,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 387708f253f7040cbade6fdabaa8e1f0b5e75b14 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Thu, 19 Sep 2019 16:04:19 +0200
Subject: [PATCH 07/10] Adjust content overview in notebook 00

- the old chapters 01 and 02 were merged
  -> reflect that in the contents overview in notebook 00
- streamline text
---
 00_start_up.ipynb | 51 +++++++++++++++++++----------------------------
 1 file changed, 21 insertions(+), 30 deletions(-)

diff --git a/00_start_up.ipynb b/00_start_up.ipynb
index 588d7ab..7551dcd 100644
--- a/00_start_up.ipynb
+++ b/00_start_up.ipynb
@@ -295,15 +295,7 @@
      "slide_type": "slide"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello world\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(\"Hello world\")"
    ]
@@ -316,7 +308,7 @@
     }
    },
    "source": [
-    "Sometimes a code cell starts with an exclamation mark `!`. Then, the Jupyter notebook behaves as if you just typed the following commands right into a terminal. The cell below asks `python` to show its version number. This is actually *not* Python code but a command in the [Shell](https://en.wikipedia.org/wiki/Shell_script) language. The `!` is useful to execute short commands without leaving a Jupyter notebook."
+    "Sometimes a code cell starts with an exclamation mark `!`. Then, the Jupyter notebook behaves as if you just typed the following command right into a terminal. The cell below asks `python` to show its version number. This is actually *not* Python code but a command in the [Shell](https://en.wikipedia.org/wiki/Shell_script) language. The `!` is useful to execute short commands without leaving a Jupyter notebook."
    ]
   },
   {
@@ -671,7 +663,7 @@
     }
    },
    "source": [
-    "### The ABC Rule"
+    "### ABC Rule"
    ]
   },
   {
@@ -728,7 +720,7 @@
     }
    },
    "source": [
-    "### Phase Iteration - The $\\pi$ Rule"
+    "### Phase Iteration"
    ]
   },
   {
@@ -756,7 +748,7 @@
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
-     "slide_type": "slide"
+     "slide_type": "skip"
     }
    },
    "source": [
@@ -767,39 +759,38 @@
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
-     "slide_type": "slide"
+     "slide_type": "skip"
     }
    },
    "source": [
     "**Part 1: Expressing Logic**\n",
     "\n",
-    "- What is a programming language?\n",
-    "  1. Structure of a Program\n",
-    "- What kind of words exist?\n",
-    "  2. Variables, Expressions, Statements, & Comments\n",
-    "  3. Functions\n",
-    "- How can we form sentences from words?\n",
-    "  4. Conditionals\n",
-    "  5. Iteration"
+    "- What is a programming language? What kind of words exist?\n",
+    "  1. Elements of a Program\n",
+    "  2. Functions & Modularization\n",
+    "- What is the flow of execution? How can we form sentences from words?\n",
+    "  3. Boolean Logic & Conditionals\n",
+    "  4. Recursion & Looping"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
-     "slide_type": "slide"
+     "slide_type": "skip"
     }
    },
    "source": [
-    "**Part 2: Managing Data**\n",
+    "**Part 2: Managing Data and Memory**\n",
     "\n",
     "- How is data stored in memory?\n",
-    "  6. Numbers\n",
-    "  7. Text\n",
-    "  8. Sequences\n",
-    "  9. Mappings & Sets\n",
+    "  5. Numbers\n",
+    "  6. Text\n",
+    "  7. Sequences\n",
+    "  8. Mappings & Sets\n",
+    "  9. Arrays\n",
     "- How can we create our own data types?\n",
-    "  10. Classes & Instances"
+    "  10. Object-Orientation"
    ]
   },
   {
@@ -821,7 +812,7 @@
     }
    },
    "source": [
-    "As with every good lecture, there always has to be a [xkcd](https://xkcd.com/353/) comic somewhere."
+    "As with every good lecture, there has to be a [xkcd](https://xkcd.com/353/) comic somewhere."
    ]
   },
   {

From 3ee72c08ae8da37af688311f9aa8a13c6631a9b8 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Thu, 19 Sep 2019 16:05:04 +0200
Subject: [PATCH 08/10] Add review and exercises for notebook 00

---
 00_start_up_review_and_exercises.ipynb | 290 +++++++++++++++++++++++++
 1 file changed, 290 insertions(+)
 create mode 100644 00_start_up_review_and_exercises.ipynb

diff --git a/00_start_up_review_and_exercises.ipynb b/00_start_up_review_and_exercises.ipynb
new file mode 100644
index 0000000..26eb93c
--- /dev/null
+++ b/00_start_up_review_and_exercises.ipynb
@@ -0,0 +1,290 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Chapter 0: Start up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Content Review"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Read chapter 0 of the book. Then work through the ten review questions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Essay Questions "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Answer the following questions briefly with *at most* 300 characters per question!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q1**: Describe the difference between the terms *programming* and *computer science*!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q2**: Explain what is a *pull request* and elaborate how this concept fits to a *distributed* organization of work!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q3**: In what sense are open-source communities democracies? How are they near-\"perfect\" [meritocracies](https://en.wikipedia.org/wiki/Meritocracy)? How is open-source software development similar to academia?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q4**: What is a major advantage of a \"slow\" programming language like Python over a faster one like C?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### True / False Questions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Motivate your answer with *one short* sentence!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q5**: Python has been the fastest growing *major* programming language in recent years."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q6**: Python is named after a snake to emphasize its agility and fast development speed right in its name."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q7**: Python was originally designed for highly intensive numerical computing, in particular for use cases from physics and astronomy."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q8**: JavaScript is a special subset of the Java language."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q9**: Python is *free software*. That means it will never cost anything."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q10**: The main purpose of PEPs is to regulate how code should be documented and/or styled."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## \"Coding\" Exercises"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Mastering Markdown"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Briefly review GitHub's guide on [Mastering Markdown](https://guides.github.com/features/mastering-markdown/) and create nicely formatted \"text\" cells below!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q11**: Check the latest [Bundesliga standings](https://www.bundesliga.com/en/bundesliga/table) and provide a table of the top three teams with the following four columns: rank, team name, games played, and points scored. Render the rank in **bold**, make the team name a clickable link (to the team's website), and put both the games played and points scored in *italics*. The header row should be visually different from the three rows with the teams' information."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q12**: The quote \"Education is what remains after one has forgotten what one has learned in school\" is attributed to Albert Einstein. Use a special Markdown syntax to display the author and his quote appropriately!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q13**: Integrate this image (https://i.ytimg.com/vi/-BoSRlzy9c4/maxresdefault.jpg) of the delicious dessert **milk rice** into this notebook."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": false,
+   "sideBar": true,
+   "skip_h1_title": true,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": false,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From d90d90ecbb09e3cda9bb875e5227f6a4fe19d7ff Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Thu, 19 Sep 2019 16:05:16 +0200
Subject: [PATCH 09/10] Add review and exercises for notebook 01

---
 ...ts_of_a_program_review_and_exercises.ipynb | 386 ++++++++++++++++++
 1 file changed, 386 insertions(+)
 create mode 100644 01_elements_of_a_program_review_and_exercises.ipynb

diff --git a/01_elements_of_a_program_review_and_exercises.ipynb b/01_elements_of_a_program_review_and_exercises.ipynb
new file mode 100644
index 0000000..088001b
--- /dev/null
+++ b/01_elements_of_a_program_review_and_exercises.ipynb
@@ -0,0 +1,386 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "# Chapter 1: Elements of a Program"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Content Review"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Read chapter 1 of the book. Then work through the ten review questions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Essay Questions "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Answer the following questions briefly with *at most* 300 characters per question!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q1**: Elaborate on how **modulo division** might be a very useful operation to know!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q2**: What is a **dynamically typed** language? How does it differ from a **statically typed** language? What does that mean for Python?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q3**: Why is it useful to start counting at $0$?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q4**: What is **operator overloading**?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q5**: What are the basic **naming conventions** for variables? What happens if a name collides with one of Python's [keywords](https://docs.python.org/3/reference/lexical_analysis.html#keywords)?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q6**: Advocates of the [functional programming](https://en.wikipedia.org/wiki/Functional_programming) paradigm suggest not to use **mutable** data types in a program. What are the advantages of that approach? What might be a downside?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### True / False Questions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Motivate your answer with *one short* sentence!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q7**: \"**dunder**\" refers to a group of Australian (\"down under\") geeks that work on core Python."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q8**: The **Zen of Python** has a high opinion on Indian genius programmers."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q9**: When NASA famously converted some measurements to the wrong unit and lost a Mars satellite in 1999 ([source](https://www.wired.com/2010/11/1110mars-climate-observer-report/)), this is an example of a so-called **runtime error**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q10**: [PEP 8](https://www.python.org/dev/peps/pep-0008/) suggests that developers use **$8$ spaces** per level of indentation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Coding Exercises"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Printing Output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q11.1**: Read about the [print()](https://docs.python.org/3/library/functions.html#print) built-in. How can you use it to print both `greeting` and `audience` *without* concatenating the two strings with the `+` operator?\n",
+    "\n",
+    "Hint: The `*objects` in the documentation implies that we can insert several comma-seperated variables."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "greeting = \"Hello\"\n",
+    "audience = \"World\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(...)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q11.2**: What does the `sep=\" \"` mean in the documentation? Use it to print out the three names in `first`, `second`, and `third` on one line seperated by commas with one [print()](https://docs.python.org/3/library/functions.html#print) statement."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first = \"Anthony\"\n",
+    "second = \"Berta\"\n",
+    "third = \"Christian\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(...)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q11.3**: Lastly, what does the `end=\"\\n\"` mean in the documentation? Use it in the `for`-loop to print the numbers $1$ through $10$ in just one line."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for number in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]:\n",
+    "    print(...)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Fizz Buzz"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The kids game [Fizz Buzz](https://en.wikipedia.org/wiki/Fizz_buzz) is said to be often used in job interviews for entry level positions. However, opinions vary as to how good of a test it actually is ([source](https://news.ycombinator.com/item?id=16446774)).\n",
+    "\n",
+    "In its simplest form, a group of people start counting upwards in an alternating fashion. Whenever a number is divisible by $3$, the person must say \"Fizz\" instead of the number. The same holds for numbers divisible by $5$ when the person must say \"Buzz\". If a number is divisible by both numbers, one must say \"FizzBuzz\". Probably, this game would also make a good drinking game with the \"right\" beverages.\n",
+    "\n",
+    "With just Chapter 1, we actually do not yet know all of Python's language constructs we need to write an implementation of Fizz Buzz in a Pythonic way. Yet, we will tweak what we know a bit and make it work."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q11.1**: First, create a list `numbers` with the numbers from $1$ through $100$. You could type all numbers manually but there is of course a smarter way. The built-in [range()](https://docs.python.org/3/library/functions.html#func-range) may be useful here. Read how it works in the documentation. To make the output of [range()](https://docs.python.org/3/library/functions.html#func-range) a `list` object, you have to \"wrap\" it with the [list()](https://docs.python.org/3/library/functions.html#func-list) built-in (i.e., `list(range(...))`)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "numbers = ..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q11.2**: Loop over the `numbers` list and replace numbers for which one of the two (or both) conditions apply with text strings `\"Fizz\"`, `\"Buzz\"`, or `\"FizzBuzz\"` using the indexing operator `[...]` and the assignment statement `=`. In the chapter we saw that Python starts indexing with `0` as the first element. So in each iteration of the `for`-loop you have to determine the *index* as well as checking the actual `number`.\n",
+    "\n",
+    "Also note that for numbers divisible by both $3$ and $5$ we need some sort of a \"third\" condition check: As we only know about the `if` statement so far (and have not heard about `elif` and `else` from Chapter 3), there will be three `if` statements in total within the loop. And the order of them matters!\n",
+    "\n",
+    "Hint: Is there a single condition that checks for both $3$ and $5$?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for number in numbers:\n",
+    "    ..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q11.3**: Create a loop that prints out either the number or any of the Fizz Buzz substitutes. Do it in such a way that we do not end up with $100$ lines of output here."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for number in numbers:\n",
+    "    ..."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": false,
+   "sideBar": true,
+   "skip_h1_title": true,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": false,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From b41c5b53026678b68d8cebb719f2946bfe519c84 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Thu, 19 Sep 2019 16:06:21 +0200
Subject: [PATCH 10/10] Adjust content overview in README.md

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 4fd2b52..78bdff9 100644
--- a/README.md
+++ b/README.md
@@ -13,6 +13,7 @@ science professionals and researchers.
 As such they can be viewed in a plain web browser:
 
 - [00 - Start up](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/00_start_up.ipynb)
+- [01 - Elements of a Program](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/01_elements_of_a_program.ipynb)
 
 However, it is recommended that students **install Python and Jupyter
 locally** and run the code in the notebooks on their own.