Merge branch 'chapter-00-intro' into develop

2020-10-12 22:53:19 +02:00 · 2020-10-12 22:53:19 +02:00 · 9ebc033280
commit 9ebc033280
parent 6891f82c8d 694eea7786
20 changed files with 1569 additions and 11 deletions
--- a/README.md
+++ b/README.md
@ -1,10 +1,51 @@
 # An Introduction to Python and Programming

-This project is a thorough introductory course
-in programming with **[Python <img height="12" style="display: inline-block" src="static/link/to_py.png">](https://www.python.org/)**.
+This project is a *thorough* introductory course
+    in programming with **[Python <img height="12" style="display: inline-block" src="static/link/to_py.png">](https://www.python.org/)**.
+
+
+### Table of Contents
+
+The materials are designed to resemble a book.
+They can be viewed in a web browser
+    either statically (i.e., read-only) on [nbviewer <img height="12" style="display: inline-block" src="static/link/to_nb.png">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/tree/develop/)
+    or interactively (i.e., code can be executed) on [Binder <img height="12" style="display: inline-block" src="static/link/to_mb.png">](https://mybinder.org/v2/gh/webartifex/intro-to-python/develop?urlpath=lab).
+**Video** presentations on the content are available
+    either via the individual links to [YouTube <img height="12" style="display: inline-block" src="static/link/to_yt.png">](https://www.youtube.com) below
+    or this [playlist <img height="12" style="display: inline-block" src="static/link/to_yt.png">](https://www.youtube.com/playlist?list=PL-2JV1G3J10lQ2xokyQowcRJI5jjNfW7f).
+
+- *Chapter 0*: Introduction
+  (
+   [content <img height="12" style="display: inline-block" src="static/link/to_nb.png">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/chapter_00_intro/00_content.ipynb)
+   [<img height="12" style="display: inline-block" src="static/link/to_mb.png">](https://mybinder.org/v2/gh/webartifex/intro-to-python/develop?urlpath=lab/tree/chapter_00_intro/00_content.ipynb)
+   [<img height="12" style="display: inline-block" src="static/link/to_yt.png">](https://www.youtube.com/watch?v=YTU8jaG27Xk&list=PL-2JV1G3J10lQ2xokyQowcRJI5jjNfW7f)
+   |
+   [review <img height="12" style="display: inline-block" src="static/link/to_nb.png">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/chapter_00_intro/01_review.ipynb)
+   [<img height="12" style="display: inline-block" src="static/link/to_mb.png">](https://mybinder.org/v2/gh/webartifex/intro-to-python/develop?urlpath=lab/tree/chapter_00_intro/01_review.ipynb)
+   |
+   [exercises <img height="12" style="display: inline-block" src="static/link/to_nb.png">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/chapter_00_intro/02_exercises.ipynb)
+   [<img height="12" style="display: inline-block" src="static/link/to_mb.png">](https://mybinder.org/v2/gh/webartifex/intro-to-python/develop?urlpath=lab/tree/chapter_00_intro/02_exercises.ipynb)
+  )
+
+
+### Objective

 The **main goal** is to **prepare** students
-for **further studies** in the "field" of **data science**.
+    for **further studies** in the "field" of **data science**,
+    including but not limited to topics such as:
+- algorithms & data structures
+- data cleaning & wrangling
+- data visualization
+- data engineering (incl. SQL databases)
+- data mining (incl. web scraping)
+- linear algebra
+- machine learning (incl. feature generation & deep learning)
+- optimization & (meta-)heuristics (incl. management science & operations research)
+- statistics & econometrics
+- quantitative finance (e.g., option valuation)
+- quantitative marketing (e.g., customer segmentation)
+- quantitative supply chain management (e.g., forecasting)
+- web development (incl. APIs)


 ### Prerequisites
@ -164,7 +205,16 @@ The following *one* command not only
 [poetry](https://python-poetry.org/docs/) is also used
    to execute commands in the project's (virtual) environment.
 The command is then prefixed with `poetry run ...`.
-For example, to do the equivalent of clicking "Launch" in the Anaconda Navigator:
+
+The project uses [nox](https://nox.thea.codes/en/stable/)
+    to manage various maintenance tasks.
+After cloning the repository and setting up the virual environment,
+    it is recommended to run the initialization task.
+That needs to be done only once.
+
+- `poetry run nox -s init-project`
+
+To do the equivalent of clicking "Launch" in the Anaconda Navigator:

 - `poetry run jupyter lab`

@ -176,6 +226,45 @@ The command-line interface stays open in the background,
 <img src="static/cli_jupyter_lab.png" width="50%" align="center">


+#### Interactive Presentation Mode & Live Coding
+
+`poetry install` also installs the
+    [RISE <img height="12" style="display: inline-block" src="static/link/to_gh.png">](https://github.com/damianavila/RISE)
+    extension for Jupyter.
+With that, the instructor can execute code in *presentation* mode during a class session.
+However, the RISE extension does *not* work in the more recent
+    [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/) app
+    but only in the older [Jupyter Notebook](https://jupyter-notebook.readthedocs.io/en/stable/) app,
+    which comes with less features and a simpler [GUI](https://en.wikipedia.org/wiki/Graphical_user_interface).
+The instructor can start the latter with:
+
+- `poetry run jupyter notebook`
+
+This also opens a new tab in the web browser.
+After opening a notebook,
+    clicking on the button highlighted below
+    starts the presentation mode.
+
+<img src="static/presentation_mode.png" width="50%" align="center">
+
+Not all notebooks are designed for this presentation mode.
+
+
+## Contributing
+
+Feedback **is highly encouraged** and will be incorporated.
+Open an issue in the [issues tracker <img height="12" style="display: inline-block" src="static/link/to_gh.png">](https://github.com/webartifex/intro-to-python/issues)
+    or initiate a [pull request <img height="12" style="display: inline-block" src="static/link/to_gh.png">](https://help.github.com/en/articles/about-pull-requests)
+    if you are familiar with the concept.
+Simple issues that *anyone* can **help fix** are, for example,
+    **spelling mistakes** or **broken links**.
+If you feel that some topic is missing entirely, you may also mention that.
+The materials here are considered a **permanent work-in-progress**.
+
+A "Show HN" post about this course was made on [Hacker News <img height="12" style="display: inline-block" src="static/link/to_hn.png">](https://news.ycombinator.com/item?id=22669084)
+    and some ideas for improvement were discussed there.
+
+
 ## About the Author

 Alexander Hess is a PhD student
--- a/chapter_00_intro/00_content.ipynb
+++ b/chapter_00_intro/00_content.ipynb
--- a/chapter_00_intro/01_review.ipynb
+++ b/chapter_00_intro/01_review.ipynb
@ -0,0 +1,222 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Chapter 0: Introduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Review"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The questions below assume that you have read [Chapter 0 <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/chapter_00_intro/00_content.ipynb) in the book.\n",
+    "\n",
+    "Be concise in your answers! Most questions can be answered in *one* sentence."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Essay Questions "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q1**: Describe the difference between the terms **programming** and **computer science**!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q2**: Explain what is a **pull request** and elaborate on how this concept fits a *distributed* organization of work!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q3**: In what sense are **open-source** communities democracies? How are they near-perfect [meritocracies <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_wiki.png\">](https://en.wikipedia.org/wiki/Meritocracy)? How is open-source software development similar to academia?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q4**: What is a *significant* advantage of a \"slow\" programming language like Python over a faster one like C?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "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": [
+    " < your answer >"
+   ]
+  },
+  {
+   "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": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q7**: Python was initially designed for highly intensive numerical computing, in particular for use cases from physics and astronomy."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q8**: JavaScript is a subset of the Java language."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q9**: Python is **free software**. That means it does not cost anything."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q10**: The primary purpose of PEPs is to regulate how code should be documented and styled."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  }
+ ],
+ "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": "3.8.6"
+  },
+  "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": 4
+}
--- a/chapter_00_intro/02_exercises.ipynb
+++ b/chapter_00_intro/02_exercises.ipynb
@ -0,0 +1,122 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Note**: Click on \"*Kernel*\" > \"*Restart Kernel and Run All*\" in [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/) *after* finishing the exercises to ensure that your solution runs top to bottom *without* any errors. If you cannot run this file on your machine, you may want to open it [in the cloud <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_mb.png\">](https://mybinder.org/v2/gh/webartifex/intro-to-python/develop?urlpath=lab/tree/chapter_00_intro/02_exercises.ipynb)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Chapter 0: Introduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## \"Coding\" Exercises"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The exercises below assume that you have read [Chapter 0 <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/chapter_00_intro/00_content.ipynb) in the book."
+   ]
+  },
+  {
+   "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": [
+    "**Q1**: 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": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q2**: The quote \"Education is what remains after one has forgotten what one has learned in school\" is attributed to Albert Einstein. Display the author and his quote appropriately!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Q3**: Integrate the image of the delicious dessert milk rice at this [URL](https://i.ytimg.com/vi/-BoSRlzy9c4/maxresdefault.jpg) into this notebook."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " < your answer >"
+   ]
+  }
+ ],
+ "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": "3.8.6"
+  },
+  "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": 4
+}
--- a/chapter_00_intro/static/cli_example.png
+++ b/chapter_00_intro/static/cli_example.png
--- a/chapter_00_intro/static/example_python_users.png
+++ b/chapter_00_intro/static/example_python_users.png
--- a/chapter_00_intro/static/growth_of_major_programming_languages.png
+++ b/chapter_00_intro/static/growth_of_major_programming_languages.png
--- a/chapter_00_intro/static/growth_of_smaller_programming_languages.png
+++ b/chapter_00_intro/static/growth_of_smaller_programming_languages.png
--- a/chapter_00_intro/static/logo.png
+++ b/chapter_00_intro/static/logo.png
--- a/chapter_00_intro/static/xkcd.png
+++ b/chapter_00_intro/static/xkcd.png
--- a/noxfile.py
+++ b/noxfile.py
@ -39,6 +39,11 @@ def init_project(session):
    ):
        session.run("poetry", "run", "pre-commit", "install", f"--hook-type={type_}")

+    # Copy the extensions' JavaScript and CSS files into Jupyter's search directory.
+    session.run(
+        "poetry", "run", "jupyter", "contrib", "nbextension", "install", "--user"
+    )
+

@nox.session(name="fix-branch-references", venv_backend="none")
 def fix_branch_references(_session):
--- a/poetry.lock
+++ b/poetry.lock
@ -330,6 +330,48 @@ traitlets = "*"
 [package.extras]
 test = ["ipykernel", "ipython", "mock", "pytest", "pytest-asyncio", "async-generator", "pytest-timeout"]

+[[package]]
+name = "jupyter-contrib-core"
+version = "0.3.3"
+description = "Common utilities for jupyter-contrib projects."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+jupyter-core = "*"
+notebook = ">=4.0"
+tornado = "*"
+traitlets = "*"
+
+[package.extras]
+testing_utils = ["nose", "mock"]
+
+[[package]]
+name = "jupyter-contrib-nbextensions"
+version = "0.5.1"
+description = "A collection of Jupyter nbextensions."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+ipython-genutils = "*"
+jupyter-contrib-core = ">=0.3.3"
+jupyter-core = "*"
+jupyter-highlight-selected-word = ">=0.1.1"
+jupyter-latex-envs = ">=1.3.8"
+jupyter-nbextensions-configurator = ">=0.4.0"
+lxml = "*"
+nbconvert = ">=4.2"
+notebook = ">=4.0"
+pyyaml = "*"
+tornado = "*"
+traitlets = ">=4.1"
+
+[package.extras]
+test = ["nbformat", "nose", "pip", "requests", "mock"]
+
 [[package]]
 name = "jupyter-core"
 version = "4.6.3"
@ -342,6 +384,48 @@ python-versions = "!=3.0,!=3.1,!=3.2,!=3.3,!=3.4,>=2.7"
 pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\""}
 traitlets = "*"

+[[package]]
+name = "jupyter-highlight-selected-word"
+version = "0.2.0"
+description = "Jupyter notebook extension that enables highlighting every instance of the current word in the notebook."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "jupyter-latex-envs"
+version = "1.4.6"
+description = "Jupyter notebook extension which supports (some) LaTeX environments within markdown cells. Also provides support for labels and crossreferences, document wide numbering, bibliography, and more..."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+ipython = "*"
+jupyter_core = "*"
+nbconvert = "*"
+notebook = ">=4.0"
+traitlets = ">=4.1"
+
+[[package]]
+name = "jupyter-nbextensions-configurator"
+version = "0.4.1"
+description = "jupyter serverextension providing configuration interfaces for nbextensions."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+jupyter_contrib_core = ">=0.3.3"
+jupyter_core = "*"
+notebook = ">=4.0"
+pyyaml = "*"
+tornado = "*"
+traitlets = "*"
+
+[package.extras]
+test = ["jupyter-contrib-core", "nose", "requests", "selenium", "mock"]
+
 [[package]]
 name = "jupyterlab"
 version = "2.2.8"
@ -389,6 +473,20 @@ requests = "*"
 [package.extras]
 test = ["pytest", "requests"]

+[[package]]
+name = "lxml"
+version = "4.5.2"
+description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
+
+[package.extras]
+cssselect = ["cssselect (>=0.7)"]
+html5 = ["html5lib"]
+htmlsoup = ["beautifulsoup4"]
+source = ["Cython (>=0.29.7)"]
+
 [[package]]
 name = "markupsafe"
 version = "1.1.1"
@ -612,7 +710,7 @@ twisted = ["twisted"]

 [[package]]
 name = "prompt-toolkit"
-version = "3.0.7"
+version = "3.0.8"
 description = "Library for building powerful interactive command lines in Python"
 category = "main"
 optional = false
@ -730,6 +828,17 @@ urllib3 = ">=1.21.1,<1.25.0 || >1.25.0,<1.25.1 || >1.25.1,<1.26"
 security = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)"]
 socks = ["PySocks (>=1.5.6,<1.5.7 || >1.5.7)", "win-inet-pton"]

+[[package]]
+name = "rise"
+version = "5.6.1"
+description = "Reveal.js - Jupyter/IPython Slideshow Extension"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, <4"
+
+[package.dependencies]
+notebook = ">=5.5.0"
+
 [[package]]
 name = "send2trash"
 version = "1.5.0"
@ -815,7 +924,7 @@ socks = ["PySocks (>=1.5.6,<1.5.7 || >1.5.7,<2.0)"]

 [[package]]
 name = "virtualenv"
-version = "20.0.33"
+version = "20.0.34"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
@ -850,7 +959,7 @@ python-versions = "*"
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "cbabc76963596b4cb08138b7b42feef3ba509e9b10ea821a1a5d02675fd6c761"
+content-hash = "1fd17e55acd76edd6126d5ee9223c0dd291bc2acacaaa242e80a3a2aaa5decce"

 [metadata.files]
 appdirs = [
@ -1017,10 +1126,28 @@ jupyter-client = [
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    {file = "jupyter_client-6.1.7.tar.gz", hash = "sha256:49e390b36fe4b4226724704ea28d9fb903f1a3601b6882ce3105221cd09377a1"},
 ]
+jupyter-contrib-core = [
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+    {file = "jupyter_contrib_core-0.3.3.tar.gz", hash = "sha256:e65bc0e932ff31801003cef160a4665f2812efe26a53801925a634735e9a5794"},
+]
+jupyter-contrib-nbextensions = [
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+    {file = "jupyter_contrib_nbextensions-0.5.1.tar.gz", hash = "sha256:eecd28ecc2fc410226c0a3d4932ed2fac4860ccf8d9e9b1b29548835a35b22ab"},
+]
 jupyter-core = [
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 ]
+jupyter-highlight-selected-word = [
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+    {file = "jupyter_highlight_selected_word-0.2.0.tar.gz", hash = "sha256:9fa740424859a807950ca08d2bfd28a35154cd32dd6d50ac4e0950022adc0e7b"},
+]
+jupyter-latex-envs = [
+    {file = "jupyter_latex_envs-1.4.6.tar.gz", hash = "sha256:070a31eb2dc488bba983915879a7c2939247bf5c3b669b398bdb36a9b5343872"},
+]
+jupyter-nbextensions-configurator = [
+    {file = "jupyter_nbextensions_configurator-0.4.1.tar.gz", hash = "sha256:e5e86b5d9d898e1ffb30ebb08e4ad8696999f798fef3ff3262d7b999076e4e83"},
+]
 jupyterlab = [
    {file = "jupyterlab-2.2.8-py3-none-any.whl", hash = "sha256:95d0509557881cfa8a5fcdf225f2fca46faf1bc52fc56a28e0b72fcc594c90ab"},
    {file = "jupyterlab-2.2.8.tar.gz", hash = "sha256:c8377bee30504919c1e79949f9fe35443ab7f5c4be622c95307e8108410c8b8c"},
@ -1033,6 +1160,39 @@ jupyterlab-server = [
    {file = "jupyterlab_server-1.2.0-py3-none-any.whl", hash = "sha256:55d256077bf13e5bc9e8fbd5aac51bef82f6315111cec6b712b9a5ededbba924"},
    {file = "jupyterlab_server-1.2.0.tar.gz", hash = "sha256:5431d9dde96659364b7cc877693d5d21e7b80cea7ae3959ecc2b87518e5f5d8c"},
 ]
+lxml = [
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+    {file = "lxml-4.5.2-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:e70d4e467e243455492f5de463b72151cc400710ac03a0678206a5f27e79ddef"},
+    {file = "lxml-4.5.2-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:7ad7906e098ccd30d8f7068030a0b16668ab8aa5cda6fcd5146d8d20cbaa71b5"},
+    {file = "lxml-4.5.2-cp27-cp27m-win32.whl", hash = "sha256:92282c83547a9add85ad658143c76a64a8d339028926d7dc1998ca029c88ea6a"},
+    {file = "lxml-4.5.2-cp27-cp27m-win_amd64.whl", hash = "sha256:05a444b207901a68a6526948c7cc8f9fe6d6f24c70781488e32fd74ff5996e3f"},
+    {file = "lxml-4.5.2-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:94150231f1e90c9595ccc80d7d2006c61f90a5995db82bccbca7944fd457f0f6"},
+    {file = "lxml-4.5.2-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:bea760a63ce9bba566c23f726d72b3c0250e2fa2569909e2d83cda1534c79443"},
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+    {file = "lxml-4.5.2-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:59daa84aef650b11bccd18f99f64bfe44b9f14a08a28259959d33676554065a1"},
+    {file = "lxml-4.5.2-cp35-cp35m-manylinux2014_aarch64.whl", hash = "sha256:c9d317efde4bafbc1561509bfa8a23c5cab66c44d49ab5b63ff690f5159b2304"},
+    {file = "lxml-4.5.2-cp35-cp35m-win32.whl", hash = "sha256:9dc9006dcc47e00a8a6a029eb035c8f696ad38e40a27d073a003d7d1443f5d88"},
+    {file = "lxml-4.5.2-cp35-cp35m-win_amd64.whl", hash = "sha256:08fc93257dcfe9542c0a6883a25ba4971d78297f63d7a5a26ffa34861ca78730"},
+    {file = "lxml-4.5.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:121b665b04083a1e85ff1f5243d4a93aa1aaba281bc12ea334d5a187278ceaf1"},
+    {file = "lxml-4.5.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:5591c4164755778e29e69b86e425880f852464a21c7bb53c7ea453bbe2633bbe"},
+    {file = "lxml-4.5.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:cc411ad324a4486b142c41d9b2b6a722c534096963688d879ea6fa8a35028258"},
+    {file = "lxml-4.5.2-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:1fa21263c3aba2b76fd7c45713d4428dbcc7644d73dcf0650e9d344e433741b3"},
+    {file = "lxml-4.5.2-cp36-cp36m-win32.whl", hash = "sha256:786aad2aa20de3dbff21aab86b2fb6a7be68064cbbc0219bde414d3a30aa47ae"},
+    {file = "lxml-4.5.2-cp36-cp36m-win_amd64.whl", hash = "sha256:e1cacf4796b20865789083252186ce9dc6cc59eca0c2e79cca332bdff24ac481"},
+    {file = "lxml-4.5.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:80a38b188d20c0524fe8959c8ce770a8fdf0e617c6912d23fc97c68301bb9aba"},
+    {file = "lxml-4.5.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:ecc930ae559ea8a43377e8b60ca6f8d61ac532fc57efb915d899de4a67928efd"},
+    {file = "lxml-4.5.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:a76979f728dd845655026ab991df25d26379a1a8fc1e9e68e25c7eda43004bed"},
+    {file = "lxml-4.5.2-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:cfd7c5dd3c35c19cec59c63df9571c67c6d6e5c92e0fe63517920e97f61106d1"},
+    {file = "lxml-4.5.2-cp37-cp37m-win32.whl", hash = "sha256:5a9c8d11aa2c8f8b6043d845927a51eb9102eb558e3f936df494e96393f5fd3e"},
+    {file = "lxml-4.5.2-cp37-cp37m-win_amd64.whl", hash = "sha256:4b4a111bcf4b9c948e020fd207f915c24a6de3f1adc7682a2d92660eb4e84f1a"},
+    {file = "lxml-4.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5dd20538a60c4cc9a077d3b715bb42307239fcd25ef1ca7286775f95e9e9a46d"},
+    {file = "lxml-4.5.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:2b30aa2bcff8e958cd85d907d5109820b01ac511eae5b460803430a7404e34d7"},
+    {file = "lxml-4.5.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:aa8eba3db3d8761db161003e2d0586608092e217151d7458206e243be5a43843"},
+    {file = "lxml-4.5.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:8f0ec6b9b3832e0bd1d57af41f9238ea7709bbd7271f639024f2fc9d3bb01293"},
+    {file = "lxml-4.5.2-cp38-cp38-win32.whl", hash = "sha256:107781b213cf7201ec3806555657ccda67b1fccc4261fb889ef7fc56976db81f"},
+    {file = "lxml-4.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:f161af26f596131b63b236372e4ce40f3167c1b5b5d459b29d2514bd8c9dc9ee"},
+    {file = "lxml-4.5.2.tar.gz", hash = "sha256:cdc13a1682b2a6241080745b1953719e7fe0850b40a5c71ca574f090a1391df6"},
+]
 markupsafe = [
    {file = "MarkupSafe-1.1.1-cp27-cp27m-macosx_10_6_intel.whl", hash = "sha256:09027a7803a62ca78792ad89403b1b7a73a01c8cb65909cd876f7fcebd79b161"},
    {file = "MarkupSafe-1.1.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:e249096428b3ae81b08327a63a485ad0878de3fb939049038579ac0ef61e17e7"},
@ -1128,8 +1288,8 @@ prometheus-client = [
    {file = "prometheus_client-0.8.0.tar.gz", hash = "sha256:c6e6b706833a6bd1fd51711299edee907857be10ece535126a158f911ee80915"},
 ]
 prompt-toolkit = [
-    {file = "prompt_toolkit-3.0.7-py3-none-any.whl", hash = "sha256:83074ee28ad4ba6af190593d4d4c607ff525272a504eb159199b6dd9f950c950"},
-    {file = "prompt_toolkit-3.0.7.tar.gz", hash = "sha256:822f4605f28f7d2ba6b0b09a31e25e140871e96364d1d377667b547bb3bf4489"},
+    {file = "prompt_toolkit-3.0.8-py3-none-any.whl", hash = "sha256:7debb9a521e0b1ee7d2fe96ee4bd60ef03c6492784de0547337ca4433e46aa63"},
+    {file = "prompt_toolkit-3.0.8.tar.gz", hash = "sha256:25c95d2ac813909f813c93fde734b6e44406d1477a9faef7c915ff37d39c0a8c"},
 ]
 ptyprocess = [
    {file = "ptyprocess-0.6.0-py2.py3-none-any.whl", hash = "sha256:d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f"},
@ -1231,6 +1391,10 @@ requests = [
    {file = "requests-2.24.0-py2.py3-none-any.whl", hash = "sha256:fe75cc94a9443b9246fc7049224f75604b113c36acb93f87b80ed42c44cbb898"},
    {file = "requests-2.24.0.tar.gz", hash = "sha256:b3559a131db72c33ee969480840fff4bb6dd111de7dd27c8ee1f820f4f00231b"},
 ]
+rise = [
+    {file = "rise-5.6.1-py2.py3-none-any.whl", hash = "sha256:e9637ee5499ad7801474da53a2c830350a44b2192c2f113594e4426190e55ad4"},
+    {file = "rise-5.6.1.tar.gz", hash = "sha256:1343f068d01adc4dd0226d9b278ce93fc92f365d827431a57e8d5679eb39f4d6"},
+]
 send2trash = [
    {file = "Send2Trash-1.5.0-py3-none-any.whl", hash = "sha256:f1691922577b6fa12821234aeb57599d887c4900b9ca537948d2dac34aea888b"},
    {file = "Send2Trash-1.5.0.tar.gz", hash = "sha256:60001cc07d707fe247c94f74ca6ac0d3255aabcb930529690897ca2a39db28b2"},
@ -1271,8 +1435,8 @@ urllib3 = [
    {file = "urllib3-1.25.10.tar.gz", hash = "sha256:91056c15fa70756691db97756772bb1eb9678fa585d9184f24534b100dc60f4a"},
 ]
 virtualenv = [
-    {file = "virtualenv-20.0.33-py2.py3-none-any.whl", hash = "sha256:35ecdeb58cfc2147bb0706f7cdef69a8f34f1b81b6d49568174e277932908b8f"},
-    {file = "virtualenv-20.0.33.tar.gz", hash = "sha256:a5e0d253fe138097c6559c906c528647254f437d1019af9d5a477b09bfa7300f"},
+    {file = "virtualenv-20.0.34-py2.py3-none-any.whl", hash = "sha256:4ecd607e7809bd7384039065639a8babc9fa562fe1b73b24095ce85b83d55fcf"},
+    {file = "virtualenv-20.0.34.tar.gz", hash = "sha256:4bf0e2bf99d33b123a895a5a244f0d7adb2a92171c6bbb31c3e2db235624abf1"},
 ]
 wcwidth = [
    {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
--- a/pyproject.toml
+++ b/pyproject.toml
@ -19,3 +19,7 @@ jupyterlab = "^2.2.8"
 # Task runners
 nox = "^2020.8.22"
 pre-commit = "^2.7.1"
+
+# Live coding during presentation mode
+jupyter-contrib-nbextensions = "^0.5.1"
+rise = "^5.6.1"
--- a/static/link/to_gh.png
+++ b/static/link/to_gh.png
--- a/static/link/to_hn.png
+++ b/static/link/to_hn.png
--- a/static/link/to_mb.png
+++ b/static/link/to_mb.png
--- a/static/link/to_nb.png
+++ b/static/link/to_nb.png
--- a/static/link/to_so.png
+++ b/static/link/to_so.png
--- a/static/link/to_yt.png
+++ b/static/link/to_yt.png
--- a/static/presentation_mode.png
+++ b/static/presentation_mode.png