numpy / numpy/numpy-tutorials

CI: cache data directory in the conda + nbval workflows

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enhancement
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Forks
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Description

Executing the notebooks in CI for testing results in downloading some datasets. We are already cacheing this data in the circleCI job. Data caching should be added to the github workflows as well to prevent unnecessary downloads.

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Compare the existing cache setup in .circleci/config.yml at lines 26-44 with the conda and nbval GitHub workflows. Add equivalent caching for the data directory in those workflows, then verify the notebook CI jobs can reuse cached datasets instead of downloading them again.

Written by the indexing model from the issue text.

Assessment

Tech stack
github-actions, numpy
Domain
ci-cd, testing
Issue type
Feature
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
50/100

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