ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
40 lines
775 B
Markdown
40 lines
775 B
Markdown
---
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id: 5e9a093a74c4063ca6f7c152
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title: Numpy Introduction A
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challengeType: 11
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videoId: P-JjV6GBCmk
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dashedName: numpy-introduction-a
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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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Why is Numpy an important, but unpopular Python library?
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## --answers--
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Often you won't work directly with Numpy.
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---
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It is extremely slow.
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---
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Working with Numpy is difficult.
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## --video-solution--
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1
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