distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Bump conda-incubator/setup-miniconda from 3.0.3 to 3.0.4
- Support collective style tasks
- [QST][Bug?] Can I fit/evaluate many XGBoost models on the same cluster?
- Revert "Run against stable fsspec"
- CI failure due to dependency conflict
- Ensure workers do not kill on restart
- The buffer of embedded numpy variables is deep-copied in client->scheduler comms
- Dynamically imported functions by path cannot be executed with `ClientExecutor`.
- dask/distributed occasionally fails to deserialize pandas dataframe due to `AssertionError: Number of manager items must equal union of block items
- [DNM] P2P shuffle without PyArrow
- Docs
- Python not yet supported