Storing data sets used in the tutorials
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 62/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Stale
- Tech stack
- numpy
- Domain
- documentation
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.
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.
- Dominant language
- No language data
- Stars
- 673
- Forks
- 229
- PR merge metrics
- No merged PRs in 30d
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.
More from numpy/numpy-tutorials
-
bug
Difficulty 1/5 Under an hour Newbie friendliness 68/100
numpy/numpy-tutorials#228 ·
-
enhancement
Difficulty 3/5 1-2 days Newbie friendliness 45/100
numpy/numpy-tutorials#305 · 1 reaction ·
-
maintenance
Difficulty 4/5 3-5 days Newbie friendliness 48/100
numpy/numpy-tutorials#283 · 1 reaction ·
-
enhancement infrastructure maintenance
Difficulty 4/5 3-5 days Newbie friendliness 25/100
numpy/numpy-tutorials#280 · 5 comments ·
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
numpy/numpy-tutorials#238 · 1 reaction ·
All issues in numpy/numpy-tutorials
Similar issues
-
documentation help wanted
Difficulty 2/5 1-3 hours Newbie friendliness 90/100
-
user-reported
Difficulty 2/5 1-3 hours Newbie friendliness 85/100
Kong/developer.konghq.com#7316 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
HarperFast/skills#96 ·
-
enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
infinispan/infinispan#18150 ·