py39-dask (python/py-dask) Updated: 10 months 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: 2024.4.1 License: BSD
GitHub
551 build(s) found
Page 1 of 6 | Showing build(s) 1 to 100
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| 10.6 | 160275 | 2024-04-08 11:49:16 | 0:01:08 | 57099 | build successful |
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