* added languages to prismjs * added language to code fences for python for everybody * multiline pre to python for everybody questions * multiline pre for data analysis with python * multiline pre in numpy questions * single line pre for python for everybody * single line pre for data analysis with python * single line pre for numpy * Revert "multiline pre in numpy questions" This reverts commitaf1a02cdd3
. * fix unneded escaping commit suggestions from code review Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com> * Revert "single line pre for numpy" This reverts commit5f90981108
. * revert changes to snippet that have a language * one last code fence to pre * Revert "fix unneded escaping " This reverts commit64c84a9213
. * Revert "single line pre for data analysis with python" This reverts commit3bccaff753
. * Revert "single line pre for python for everybody" This reverts commit03a5379062
. * remove unnecessary escape Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
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id, title, challengeType, videoId, dashedName
id | title | challengeType | videoId | dashedName |
---|---|---|---|---|
5e9a093a74c4063ca6f7c154 | Numpy Arrays | 11 | VDYVFHBL1AM | numpy-arrays |
--description--
Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.
More resources:
--question--
--text--
What will the following code print out?
A = np.array([
['a', 'b', 'c'],
['d', 'e', 'f'],
['g', 'h', 'i']
])
print(A[:, :2])
--answers--
[['a' 'b']]
[['b' 'c']
['e' 'f']
['h' 'i']]
[['a' 'b']
['d' 'e']
['g' 'h']]
--video-solution--
3