Storing data sets used in the tutorials
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Description
Document in README.md what options were considered for storing data sets used in the NumPy tutorials and why GitHub was selected as the optimal (interim) solution.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with README.md and review how the NumPy tutorials currently reference or store their data sets. Document the storage options considered, explain why GitHub was selected as the interim solution, and confirm that the README contains the requested rationale.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 62/100