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py311-dask

2025.12.0

Parallel PyData with Task Scheduling

Dask is 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.

Origin: devel/py-dask

Category: devel

Size: 23.9MiB

License: BSD3CLAUSE

Maintainer: sunpoet@FreeBSD.org

Dependencies: 12 packages

Required by: 9 packages

Website: dask.org

$pkg install py311-dask

Dependencies (12)

python311 py311-toolz py311-pyyaml py311-pyarrow py311-partd py311-pandas py311-packaging py311-numpy py311-importlib-metadata py311-fsspec py311-cloudpickle py311-click

Required By (9 packages)

py311-dask-awkward py311-dask-expr py311-dask-histogram py311-distributed py311-napari py311-pyFFTW py311-thewalrus py311-xarray-simlab py311-xbout

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