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