py27-dask (python/py-dask) 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: 1.2.2 License: BSD
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2024-May-24 to 2024-Jun-23


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