dask
https://github.com/dask/dask
Python
Parallel computing with task scheduling
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- Issues
- Possible way of allow array repeat argument in da.repeat()
- Issue when pass filtered dask DataFrame to sklearn.metrics mean_absolute_error
- Sort dask array
- RecursionError when adding many computed columns to a DataFrame
- TypeError with `store` and distributed scheduler
- Dask slow in simple benchmark
- Intermediate tasks computed before needed
- Better educate users when hashing/tokenizing large numpy arrays
- Simplifying da.map_overlap's boundary padding
- Helm dask notes seem to have a typo in setting the environment variable
- Docs
- Python not yet supported