dask
https://github.com/dask/dask
Python
Parallel computing with task scheduling
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- Issues
- `dask/tests/test_distributed.py::test_to_hdf_scheduler_distributed` flaky
- bilinear interpolation in dask
- Change `split_every=False` default for DataFrame reductions like `mean`?
- Ignore zero sized chunks in auto_chunks
- Type hints for read_bytes
- Specifying `resources` kwarg in client.submit() prevents the job from completing
- Track whether DataFrame partitions are sorted, even if divisions are unknown?
- Avoid checking the returned sqlite dtype on all 32 bit platforms.
- Policy for handling backwards incompatible API changes in upstream libraries
- Forbid columns with duplicate names
- Docs
- Python not yet supported