Syncing fork with master

Module 2 Understanding the Modulo Operator, Reading Comprehension Solutions
CHANGE FROM:
If `n` is an integer, then 2 will divide into it evenly, and thus there is no remainder.
CHANGE TO:
If `n` is an even integer, then 2 will divide into it evenly, and thus there is no remainder.

Module 2 Data Structures (Part II): Dictionaries, Reading Comprehension Solutions
CHANGE FROM:
>>> get_maxes(dict(a=1, b=2,c= 2, d=1))
CHANGE TO:
>>> get_maxes(dict(a=1, b=2, c=2, d=1))

Module 3
Fixed links from "docs.scipy.org/doc/numpy/" to "numpy.org/doc/stable/"

Module 3 "Vectorized" Operations, Reading Comprehension Solutions
CHANGE FROM:
    # top-left  top-right    bottom-left  bottom-right
>>> x[:2, :2] + x[:2, -2:] + x[-2:, :2] + x[-2:, -2:]
array([[20, 24],
       [36, 40]])
CHANGE TO:
                    # top-left           top-right            bottom-left        bottom-right
>>> np.array([[np.sum(x[:2, :2]), np.sum(x[:2, 2:])], [np.sum(x[2:, :2]), np.sum(x[2:, 2:])]])
array([[10, 18],
       [42, 50]])

Module 3 "Vectorized" Operations, Reading Comprehension: Basic Sequential Functions
CHANGE FROM:
Thus a (32,32,3) array would be a 32x32 RBG image.
CHANGE TO:
Thus a (32,32,3) array would be a 32x32 RGB image.

Module 3 Array Broadcasting, Reading Comprehension Solutions
MOVE "Broadcast Compatibility: Solution" section to BEFORE "Basic Broadcasting: Solution"
ADD <!-- #region --> and <!-- #endregion --> to moved section

Module 3 Array Broadcasting, Reading Comprehension: Basic Broadcasting III
CHANGE FROM:
Thus a (32,32,3) array would be a 32x32 RBG image.
CHANGE TO:
Thus a (32,32,3) array would be a 32x32 RGB image.

Module 3 Introduction to Basic and Advanced Indexing: Reading Comprehension: Ellipsis
QUESTION ABOUT:
Given a N-dimensional array, x, index into x such that you axis entry-0 of axis-0
QUESTION:
"such that you axis"?  Should it be "such that you access"?

Module 3 Introduction to Basic and Advanced Indexing: Reading Comprehension Augmenting Array Data In-Place
IN:
>>> np.log(x[1:3], out=x[1:3])
>>> y += 3
REMOVE: (duplicate from rsokl#4, not relevant and not in solution)
>>> y += 3

Module 3 Introduction to Basic and Advanced Indexing: Reading Comprehension Augmenting Array Data In-Place
IN rsokl#7:
CHANGE FROM:
>>> y = y + 2
CHANGE TO (match answer key, and is already same question #3 asks):
>>> x = np.square(x)

Module 3 Introduction to Basic and Advanced Indexing: Reading Comprehension Augmenting Array Data In-Place
AFTER rsokl#9, APPEND:
```python
>>> np.square(y, out=y)
```
(answer is in Solutions, problem is missing)

Module 3 Introduction to Basic and Advanced Indexing: Reading Comprehension Solutions: Assignment via advanced indexing
Problem does not match solution.
CHANGE FROM:
Replace the diagonal elements of `x` with `(-1, -2, -3, -4)`, and add `1` to all values in `x` that are greater than `0.8`.
CHANGE TO:
Replace the diagonal elements of `x` with `(0, 1, 2, 3)`, and add `1` to all values in `x` that are greater than `0.8`.

…typos