py39-dask (python/py-dask) Updated: 1 day, 18 hours ago Add to my watchlist

Minimal task scheduling abstraction.

Dask provides multi-core execution on larger-than-memory datasets using blocked algorithms and task scheduling. It maps high-level NumPy, Pandas, and list operations on large datasets on to many operations on small in-memory datasets. It then executes these graphs in parallel on a single machine. Dask lets us use traditional NumPy, Pandas, and list programming while operating on inconveniently large data in a small amount of space.

Version: 2024.8.0 License: BSD GitHub
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py39-dask seems to have been updated (port version: 2024.8.0, new version: 2025.9.1)

livecheck ran: 1 day, 6 hours ago