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RPM resource python311-dask-distributed

A flexible library for parallel computing in Python. Dask is composed of two parts: - Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. - “Big Data” collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of dynamic task schedulers. This meta package pulls in the distributed module into the dask namespace.

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Found 3 RPM for python311-dask-distributed

PackageSummaryDistributionDownload
python311-dask-distributed-2024.4.2-1.1.noarch.htmlInterface with the distributed task scheduler in daskOpenSuSE Ports Tumbleweed for noarchpython311-dask-distributed-2024.4.2-1.1.noarch.rpm
python311-dask-distributed-2024.4.2-1.1.noarch.htmlInterface with the distributed task scheduler in daskOpenSuSE Tumbleweed for noarchpython311-dask-distributed-2024.4.2-1.1.noarch.rpm
Interface with the distributed task scheduler in daskpython311-dask-distributed-2024.4.2-1.1.noarch.rpm

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Fabrice Bellet