Less broadcast for numpy exercise
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- jupyter-notebook, numpy
- Domain
- content
Research direction
Locate the numpy example and exercise referenced in the issue and compare how much they rely on broadcasting. Revise the material to emphasize boolean-mask selection or range selection instead, then check that the example and exercise remain coherent for the workshop.
Written by the indexing model from the issue text.
Description
Currently the indexing in the numpy example and exercise revolve a lot around broadcasting.
This is not necessary very useful. Other kind of indexing, like selection with boolean mask or range selection may be more interesting.
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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