dask
https://github.com/dask/dask
Python
Parallel computing with task scheduling
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Help out
- Issues
- Handling `da.histogram` when `range` is not specified
- Support bytes chunksize in dd.from_pandas
- Create architecture diagram for the distributed system
- Reshuffling large amount of parquet files blows up worker memory
- Sizeof fails on GeoDataFrame when passing kwarg to map_partitions
- 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
- Docs
- Python not yet supported