* Typo fix (#141) * Fixed dict.fromkeys typo in Module 4, pep-8 compliant * Fixed multiple typos in Module 2 and Module 3 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  and  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 #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 #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 #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`. * Updated old scipy.org links to numpy.org links * Update Python/Module3_IntroducingNumpy/VectorizedOperations.md Co-Authored-By: Ryan Soklaski <ryan.soklaski@gmail.com> * Fixed typo "axis" to "access" in Module 3 * Added Patrick O'Shea to Contributors Co-authored-by: Ryan Soklaski <ryan.soklaski@gmail.com>

New Module: Python Data Structures #7

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