dask
https://github.com/dask/dask
Python
Parallel computing with task scheduling
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- Issues
- Poor scheduling with `flox`, leading to high memory usage and eventual failure
- Use ``to/from_legacy_dataframe`` instead of ``to/from_dask_dataframe``
- Remove xfail tracebacks from testsuite
- Incorrect shape computation with getitem and structured numpy array
- Preserving divisions when reading/loading dataframes with structs containing multiple fields
- `vindex` as outer indexer: memory and time performance
- Hash join transfer with error cannot pickle '_contextvars.ContextVar' object
- ``new_dd_object``'s array logic always assumes the metadata is ``numpy``
- Build nightlies on tag releases
- Update gpuCI `RAPIDS_VER` to `24.06`
- Docs
- Python not yet supported