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Paketti: python3-dask (0.16.0-1)

Minimal task scheduling abstraction for Python 3

Dask is a flexible parallel computing library for analytics, containing two components.

1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. 2. "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 the dynamic task schedulers.

This contains the Python 3 version.

Muut pakettiin python3-dask liittyvät paketit

  • depends
  • recommends
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  • dep: python3
    interactive high-level object-oriented language (default python3 version)
  • rec: python3-numpy
    Fast array facility to the Python 3 language
  • rec: python3-toolz
    List processing tools and functional utilities

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