* 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>
35 lines
412 B
Markdown
35 lines
412 B
Markdown
---
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id: 5e9a0a8e09c5df3cc3600ed2
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title: What is NumPy
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challengeType: 11
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videoId: 5Nwfs5Ej85Q
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dashedName: what-is-numpy
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---
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# --question--
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## --text--
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Why are Numpy arrays faster than regular Python lists?
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## --answers--
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Numpy does not perform type checking while iterating through objects.
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---
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Numpy uses fixed types.
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---
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Numpy uses contiguous memory.
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---
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All of the above.
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## --video-solution--
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4
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