anndata_dask_array.ipynb: copy tweaks / improvements

[ryan-williams]

anndata_dask_array.ipynb

• Seed da.random/np.random ⟹ allow regenerating the notebook deterministically.
• Copy tweaks: some typos, some more opinionated rephrasing, couple places described things that didn't match the cell outputs (e.g. claiming a slice result was eager when it wasn't), couple places I added a cell and some copy.
• Kernel name: python3.bak → python3

Dockerfile / regenerate.sh

Regenerate notebook files deterministically (in Docker / using juq to clean notebooks / canonicalize outputs), e.g.:

./regenerate.sh anndata_dask_array

I've used it here on anndata_dask_array.ipynb, but not any other notebooks.

[review-notebook-app]

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[flying-sheep]

Hi, thank you very much, this is a great idea. We really need to standardize a reproducibility story here, thank you for getting started here. I don‘t think pip install will install the same versions without pip-timemachine or a lockfile, so this is not completely reproducible. It would be amazing though if we found a way to get pixel-perfect graphics that don‘t generate a diff every time.

One thing about your solution: The font rendering is kind of ugly. Can you check if installing ipycytoscape instead of graphviz (and maybe also if setting dask’s config visualization.engine to it) improves this?