py-dask (python/py-dask) Updated: 2 weeks, 3 days 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
| Maintainers | stromnov |
| Categories | devel python |
| Homepage | https://github.com/dask/dask/ |
| Platforms | any |
| Variants | - |
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py-dask seems to have been updated (port version: 2024.4.1, new version: 2024.4.2)
livecheck ran: 1 day, 18 hours ago