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Update and reorganize apply_ufunc material #180
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dcherian
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Jun 14, 2023
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- minimize data repr
- Finish automatic vectorizing with numpy
- Go through the interp end-to-end example
- args, kwargs in simple numpy notebook
- Break out numba guvectorize piece
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
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There's a bunch of material here. I'll think about a subset for the tutorial. Our plan was to have 30-40 minutes to explore, so there's plenty of material that attendees could look through. |
Thanks! Just had a thought: should I move "Reductions and Core Dimensions" to a new "Core Dimensions" notebook? It's an important concept and could be nice to break out |
Went ahead and did this. I like it! |
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This is a really great set of notebooks @dcherian I feel like I have a much better understanding of how everything fits together :)
Thanks for the reading the whole thing Scott! I pushed some major changes to the dask notebook to hopefully clarify the order of execution and wrapping. |
Nice, it's all green now, I'd say go ahead and merge! |
* upstream/main: move custom accessors to advanced and add more complex, runnable examples (xarray-contrib#168) Update and reorganize apply_ufunc material (xarray-contrib#180) Add jupyterlab-myst 2.0 and sphinx-exercise (xarray-contrib#187) Add jupyterlab-myst (xarray-contrib#182) Add codespace config for scipy 2023 (xarray-contrib#184) Add SciPy Instructions (xarray-contrib#183) Edits to "Xarray and Dask" (xarray-contrib#177) Setup PR Preview workflow (xarray-contrib#175) contents write permissions for github token (xarray-contrib#178)