* 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>
60 lines
859 B
Markdown
60 lines
859 B
Markdown
---
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id: 5e9a093a74c4063ca6f7c154
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title: Numpy Arrays
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challengeType: 11
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videoId: VDYVFHBL1AM
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dashedName: numpy-arrays
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---
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# --description--
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*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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## --text--
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What will the following code print out?
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```py
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A = np.array([
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['a', 'b', 'c'],
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['d', 'e', 'f'],
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['g', 'h', 'i']
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])
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print(A[:, :2])
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```
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## --answers--
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```py
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[['a' 'b']]
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```
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---
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```py
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[['b' 'c']
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['e' 'f']
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['h' 'i']]
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```
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---
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```py
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[['a' 'b']
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['d' 'e']
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['g' 'h']]
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```
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## --video-solution--
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3
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