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* fix(curriculum): standradize links in curriculum * Data analiysis links * CIP links * fixed links in s-expressions * Update curriculum/challenges/english/01-responsive-web-design/basic-css/use-hex-code-for-specific-colors.md Co-authored-by: Ilenia <nethleen@gmail.com> * added space before target attribute * standarize external and .rock example links * wrap "check out the projects" around the links Co-authored-by: Ilenia <nethleen@gmail.com>
44 lines
965 B
Markdown
44 lines
965 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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bilibiliIds:
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aid: 718079611
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bvid: BV18Q4y1k7om
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cid: 409007080
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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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- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-numpy" target="_blank" rel="noopener noreferrer nofollow">Notebooks on GitHub</a>
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- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer nofollow">How to open Notebooks from GitHub using Google Colab.</a>
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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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