issue_comments: 702265883

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https://github.com/pydata/xarray/issues/4475#issuecomment-702265883 https://api.github.com/repos/pydata/xarray/issues/4475 702265883 MDEyOklzc3VlQ29tbWVudDcwMjI2NTg4Mw== 2560426 2020-10-01T16:52:59Z 2020-10-01T16:52:59Z NONE

Multiple threads (the default), because it's recommended "for numeric code that releases the GIL (like NumPy, Pandas, Scikit-Learn, Numba, …)" according to the dask docs.

I guess I could do multi-threaded for the compute part (everything up to the definition of ds), then multi-process for the write part, but doesn't that then require me to load everything into memory before writing?

 
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