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author | William Carroll <wpcarro@gmail.com> | 2020-11-17T22·28+0000 |
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committer | William Carroll <wpcarro@gmail.com> | 2020-11-17T22·28+0000 |
commit | 751b5327a92f4d53db6253e59c475e4e96cabcb6 (patch) | |
tree | 523d6efc2f8f7e52b665738224129bc76be8dd13 /.envrc | |
parent | 572fb0fe5f8201376740c84a316407b75e96b1c9 (diff) |
Solve algorithms dealing with randomness
Tonight I learned that random sample where each element in the sampling corpus has an equal likelihood of being chosen is a brand of algorithms known as "reservoir sampling". - Implement random.shuffle(..) - Implement random.choice(..) Surprisingly, candidates are expected to encounter problems like this during interviews.
Diffstat (limited to '.envrc')
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