Link to or absorb external tutorial material
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 30/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- documentation
Research direction
Review the unchecked external links in this issue, along with the completed apply_ufunc example, to understand which tutorial material is already covered. Check the referenced xarray pull request and issue before deciding whether each item should be linked or incorporated. Done means the listed material has a clear disposition and the tutorial collection is updated accordingly.
Written by the indexing model from the issue text.
Description
Looking for material!
- https://ncar.github.io/esds/posts/2022/sparse-PFT-gridding/
- https://ncar.github.io/esds/posts/2022/dask-debug-detrend/
- Intermediate tutorial on merging: https://github.com/pydata/xarray/pull/3131/files
- "data wrangling" Aquarius satellite data: https://github.com/pydata/xarray/issues/2313
- https://docs.xarray.dev/en/stable/examples/apply_ufunc_vectorize_1d.html
- Dominant language
- Jupyter Notebook
- Stars
- 204
- Forks
- 121
- 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.
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