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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: 2.6.0 License: BSD| Maintainers | stromnov |
| Categories | devel python |
| Homepage | https://github.com/dask/dask/ |
| Platforms | darwin |
| Variants | - |
Subport(s) (10)
"py35-dask" depends on
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