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freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.md
Ilenia a38922536c Adding language to code fences and pre to console logs (#40603) 
* 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 commit af1a02cdd3.

* 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"

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* revert changes to snippet that have a language

* one last code fence to pre

* Revert "fix unneded escaping
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* Revert "single line pre for data analysis with python"

This reverts commit 3bccaff753.

* Revert "single line pre for python for everybody"

This reverts commit 03a5379062.

* remove unnecessary escape

Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
2021-01-21 12:12:42 -06:00

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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