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RPM resource python3-dask-dataframe

A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask DataFrame class. A Dask DataFrame is a large parallel dataframe composed of many smaller Pandas dataframes, split along the index. These pandas dataframes may live on disk for larger-than-memory computing on a single machine, or on many different machines in a cluster.

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Found 5 RPM for python3-dask-dataframe

PackageSummaryDistributionDownload
python3-dask-dataframe-1.1.1-bp156.3.3.noarch.htmlPandas-like DataFrame data structure for daskOpenSuSE Leap 15.6 for noarchpython3-dask-dataframe-1.1.1-bp156.3.3.noarch.rpm
python3-dask-dataframe-1.1.1-bp155.2.16.noarch.htmlPandas-like DataFrame data structure for daskOpenSuSE Leap 15.5 for noarchpython3-dask-dataframe-1.1.1-bp155.2.16.noarch.rpm
python3-dask-dataframe-1.1.1-bp154.1.56.noarch.htmlPandas-like DataFrame data structure for daskOpenSuSE Leap 15.4 for noarchpython3-dask-dataframe-1.1.1-bp154.1.56.noarch.rpm
python3-dask-dataframe-1.1.1-bp153.2.9.noarch.htmlPandas-like DataFrame data structure for daskOpenSuSE Leap 15.3 for noarchpython3-dask-dataframe-1.1.1-bp153.2.9.noarch.rpm
python3-dask-dataframe-1.1.1-lp152.2.4.noarch.htmlPandas-like DataFrame data structure for daskOpenSuSE Leap 15.2 for noarchpython3-dask-dataframe-1.1.1-lp152.2.4.noarch.rpm

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