numpy-100

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What's the difference between 50 and 61?

3

maxim5

Fix the solution of 49h

1

Make the solution work on different numpy versions.

shadowfishes

Hide answers

1

It would be nice if the answers were hidden so one wouldn't accidentally read the answers.

tkwon

The solution to 65 doesn't make sense

3

The task is as follows: **How to accumulate elements of a vector (X) to an array (F) based on an index list (I)?** To me this means that `F` should...

maxim5

18 - Alternative that might be clearer

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Z = np.tile([[0, 1], [1, 0]], (4, 4)) print(Z)

pourhouse

Shortened code lines (partly using yapf), wrapped comments

3

This PR mainly wraps comment lines manually, shortens code lines and applies some readability improvements mostly as suggested by `yapf`. This helps generate a PDF version with index cards like...

deeplook

Wrapping code in answers for PDF output

3

In my fork of this repo, see https://github.com/deeplook/numpy-100, I'm generating double-sided PDF index cards (call them quiz cards or flash cards if you like) from the markdown file ``100 Numpy...

deeplook

a single solution to the 'rows with unequal values' exrecise

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It's a single solution that works for any type of elements in the array (numbers, strings, records) and any number of columns. I deleted the two previous solutions.

ibah

Update 100_Numpy_exercises_with_solutions.md

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#### 22. Normalize a 5x5 random matrix (★☆☆) The formula for calculating normalized score: X new = (X — X min)/ (X max — X min)

rashedman

#56 Doesn't use the fact a 2d gaussian is separable and only works for mu=0.0

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The implementation in the answers for question 56 doesn't make use of the fact that a 2d gaussian is separable and can be implemented as two 1d gaussians - which...

Nin17