intro-to-python/07_sequences_10_review.ipynb

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    "\n",
    "# Chapter 7: Sequential Data"
   ]
  },
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   "metadata": {},
   "source": [
    "## Content Review"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "Read [Chapter 7](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/07_sequences_00_content.ipynb) of the book. Then, work through the questions below."
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Essay Questions "
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "Answer the following questions *briefly*!"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "**Q1**: We have seen **containers** and **iterables** before in [Chapter 4](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/04_iteration_00_content.ipynb#Containers-vs.-Iterables). How do they relate to **sequences**? "
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    " "
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   "source": [
    "**Q2**: What are **abstract base classes**? How can we make use of the ones from the [collections.abc](https://docs.python.org/3/library/collections.abc.html) module in the [standard library](https://docs.python.org/3/library/index.html)?"
   ]
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    " "
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   "source": [
    "**Q3**: How are the *abstract behaviors* of **reversibility** and **finiteness** essential for *indexing* and *slicing* sequences?"
   ]
  },
  {
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   "source": [
    " "
   ]
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   "source": [
    "**Q4**: Explain the difference between **mutable** and **immutable** objects in Python with the examples of the `list` and `tuple` types!"
   ]
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   "source": [
    " "
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   "source": [
    "**Q5**: What is the difference between a **shallow** and a **deep** copy of an object? How can one of them become a \"problem?\""
   ]
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   "source": [
    " "
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   "source": [
    "**Q6**: Many **list methods** change `list` objects \"**in place**.\" What do we mean by that?"
   ]
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   "source": [
    " "
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   "source": [
    "**Q7.1**: `tuple` objects have *two* primary usages. First, they can be used in place of `list` objects where **mutability** is *not* required. Second, we use them to model data **records**.\n",
    "\n",
    "Describe why `tuple` objects are a suitable replacement for `list` objects in general!"
   ]
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  {
   "cell_type": "markdown",
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   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "**Q7.2**: What do we mean by a **record**? How are `tuple` objects suitable to model records? How can we integrate a **semantic meaning** when working with records into our code?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q8**: How is (iterable) **packing** and **unpacking** useful in the context of **function definitions** and **calls**?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q9**: With the [map()](https://docs.python.org/3/library/functions.html#map) and [filter()](https://docs.python.org/3/library/functions.html#filter) built-ins and the [reduce()](https://docs.python.org/3/library/functools.html#functools.reduce) function from the [functools](https://docs.python.org/3/library/functools.html) module in the [standard library](https://docs.python.org/3/library/index.html), we can replace many tedious `for`-loops and `if` statements. What are some advantages of doing so?"
   ]
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   "cell_type": "markdown",
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    " "
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   "source": [
    "**Q10**: Looking at the `lambda` expression inside [reduce()](https://docs.python.org/3/library/functools.html#functools.reduce) below, what \"simple\" [built-in function](https://docs.python.org/3/library/functions.html) is mimicked here?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "from functools import reduce\n",
    "\n",
    "numbers = [7, 11, 8, 5, 3, 12, 2, 6, 9, 10, 1, 4]\n",
    "\n",
    "reduce(lambda x, y: x if x > y else y, numbers)\n",
    "```"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q11**: What is the primary use case of **list comprehensions**? Why do we describe them as **eager**?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q12**: **Generator expressions** may replace `list` objects and list comprehensions in many scenarios. When evaluated, they create a **lazy** `generator` object that does *not* **materialize** its elements right away. What do we mean by that? What does it mean for a `generator` object to be **exhausted**?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
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    " "
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q13**: What does it mean for the **boolean reducers**, the built-in [all()](https://docs.python.org/3/library/functions.html#all) and [any()](https://docs.python.org/3/library/functions.html#any) functions, to follow the **short-circuiting** strategy?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q14**: What is an **iterator**? How does it relate to an **iterable**?"
   ]
  },
  {
   "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": [
    "**Q15**: `sequence` objects are *not* part of core Python but may be imported from the [standard library](https://docs.python.org/3/library/index.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
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    " "
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   "metadata": {},
   "source": [
    "**Q16**: The built-in [sort()](https://docs.python.org/3/library/stdtypes.html#list.sort) function takes a *finite* **iterable** as its argument an returns a *new* `list` object. On the contrary, the [sorted()](https://docs.python.org/3/library/functions.html#sorted) method on `list` objects *mutates* them *in place*."
   ]
  },
  {
   "cell_type": "markdown",
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    " "
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q17**: Passing **mutable** objects as arguments to functions is not problematic because functions operate in a **local** scope without affecting the **global** scope."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q18**: `lambda` expressions are useful in the context of the **map-filter-reduce** paradigm, where we often do *not* re-use a `function` object more than once."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q19**: Using **generator expressions** in place of **list comprehensions** wherever possible is a good practice as it makes our programs use memory more efficiently."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q20**: Just as **list comprehensions** create `list` objects, **tuple comprehensions** create `tuple` objects."
   ]
  },
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