Merge in "06-text"
Merge branch "06-text" into "develop" Summary of the merged in commits: *f38a3d1: Adjust content overview in README.md *ffd407b: Add review and exercises for notebook 06 *e309f19: Add initial version of notebook 06 *4838c07: Streamline previous content
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@ -57,7 +57,7 @@
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"\n",
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"A function may come with an *explicit* **[return value](https://docs.python.org/3/reference/simple_stmts.html#the-return-statement)** (i.e., \"result\" or \"output\") specified with the `return` statement: Functions that have one are considered **fruitful**; otherwise, they are **void**. Functions of the latter kind are still useful because of their **side effects** (e.g., the [print()](https://docs.python.org/3/library/functions.html#print) built-in). Strictly speaking, they also have an *implicit* return value of `None` that is different from the `False` we saw in Chapter 1.\n",
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"\n",
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"A function should define a **docstring** that describes what it does in a short subject line, what parameters it expects (i.e., their types), and what it returns (if anything). A docstring is a syntactically valid multi-line string (i.e., type `str`) defined within **triple-double quotes** `\"\"\"`. Strings are covered in depth in Chapter 6. Widely adopted standards as to how to format a docstring are [PEP 257](https://www.python.org/dev/peps/pep-0257/) and section 3.8 in [Google's Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md)."
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"A function should define a **docstring** that describes what it does in a short subject line, what parameters it expects (i.e., their types), and what it returns (if anything). A docstring is a syntactically valid multi-line string (i.e., type `str`) defined within **triple-double quotes** `\"\"\"`. Strings are covered in depth in [Chapter 6](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/06_text.ipynb). Widely adopted standards as to how to format a docstring are [PEP 257](https://www.python.org/dev/peps/pep-0257/) and section 3.8 in [Google's Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md)."
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]
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},
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{
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@ -21,7 +21,7 @@
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"source": [
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"After learning about the basic building blocks of expressing and structuring the business logic in programs, we focus our attention on the **data types** Python offers us, both built-in and available via the [standard library](https://docs.python.org/3/library/index.html) or third-party packages.\n",
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"\n",
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"We start with the \"simple\" ones: Numeric types in this chapter and textual data in Chapter 6. An important fact that holds for all objects of these types is that they are **immutable**. To re-use the bag analogy from [Chapter 1](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/01_elements.ipynb#Objects-vs.-Types-vs.-Values), this means that the $0$s and $1$s making up an object's *value* cannot be changed once the bag is created in memory, implying that any operation with or method on the object creates a *new* object in a *different* memory location.\n",
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"We start with the \"simple\" ones: Numeric types in this chapter and textual data in [Chapter 6](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/06_text.ipynb). An important fact that holds for all objects of these types is that they are **immutable**. To re-use the bag analogy from [Chapter 1](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/01_elements.ipynb#Objects-vs.-Types-vs.-Values), this means that the $0$s and $1$s making up an object's *value* cannot be changed once the bag is created in memory, implying that any operation with or method on the object creates a *new* object in a *different* memory location.\n",
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"\n",
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"Chapters 7, 8, and 9 then cover the more \"complex\" data types, including, for example, the `list` type. Finally, Chapter 10 completes the picture by introducing language constructs to create custom types.\n",
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"\n",
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@ -4519,7 +4519,7 @@
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}
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},
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"source": [
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"To preserve the precision for more advanced mathematical functions, `Decimal` objects come with many methods bound on them. For example, [ln()](https://docs.python.org/3/library/decimal.html#decimal.Decimal.ln) and [log10()](https://docs.python.org/3/library/decimal.html#decimal.Decimal.log10) take the logarithm while [sqrt()](https://docs.python.org/3/library/decimal.html#decimal.Decimal.sqrt) calculates the square root. In general, the functions in the [math](https://docs.python.org/3/library/math.html) module in the [standard library](https://docs.python.org/3/library/index.html) should only be used with `float` objects as they do *not* preserve precision."
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"To preserve the precision for more advanced mathematical functions, `Decimal` objects come with many **methods bound** on them. For example, [ln()](https://docs.python.org/3/library/decimal.html#decimal.Decimal.ln) and [log10()](https://docs.python.org/3/library/decimal.html#decimal.Decimal.log10) take the logarithm while [sqrt()](https://docs.python.org/3/library/decimal.html#decimal.Decimal.sqrt) calculates the square root. In general, the functions in the [math](https://docs.python.org/3/library/math.html) module in the [standard library](https://docs.python.org/3/library/index.html) should only be used with `float` objects as they do *not* preserve precision."
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]
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},
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{
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06_text.ipynb
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06_text_review_and_exercises.ipynb
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06_text_review_and_exercises.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"# Chapter 6: Text"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Content Review"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Read [Chapter 6](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/06_text.ipynb) of the book. Then work through the eight review questions."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Essay Questions "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Answer the following questions briefly with *at most* 300 characters per question!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q1**: In what sense is a **\"string\" of characters** a **sequence**? What is a **sequence** after all? A *concrete* **data type**, or something else?"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q2**: What is a direct consequence of the `str` type's property of being **ordered**? What operations could we *not* do with it if it were *unordered*?"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q3**: What does it mean for an object to be **immutable**? Discuss how we can verify the `str` type's immutability by comparing the two variables `example` and `full_slice` below. Are they pointing to the *same* object in memory?\n",
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"```python\n",
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"example = \"text\"\n",
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"full_slice = example[:]\n",
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"```\n",
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"Hint: Find out what `[:]` does first!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q4**: Describe in your own words what we mean with **string interpolation**!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### True / False Questions"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Motivate your answer with *one short* sentence!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q5**: **Triple-double** quotes `\"\"\"` and **triple-single** quotes `'''` create a *new* object of type `text` that model so-called **multi-line strings**."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q6**: A **substring** is a string that *subsumes* another string."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q7**: Indexing into a `str` object with a *negative* index **fails silently**: It does *not* raise an error but also does *not* do anything useful."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q8**: We *cannot* assign a *different* character to an index or slice of a `str` object because it is **immutable**."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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" "
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": false,
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"sideBar": true,
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"skip_h1_title": true,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": false,
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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- [03 - Conditionals & Exceptions](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/03_conditionals.ipynb)
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- [04 - Recursion & Looping](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/04_iteration.ipynb)
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- [05 - Numbers](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/05_numbers.ipynb)
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- [06 - Text](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/06_text.ipynb)
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However, it is recommended that students **install Python and Jupyter
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locally** and run the code in the notebooks on their own.
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