Пакет: python-dask-doc (2022.12.1+dfsg-2)

[ Источник: dask  ]

Minimal task scheduling abstraction documentation

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 documentation

Другие пакеты, относящиеся к python-dask-doc

• dep: libjs-mathjax

  JavaScript display engine for LaTeX and MathML

• dep: libjs-sphinxdoc (>= 5.2)

  JavaScript support for Sphinx documentation

• dep: node-js-yaml

  YAML 1.2 parser and serializer

Загрузка python-dask-doc

Загрузить для всех доступных архитектур

Архитектура	Размер пакета	В установленном виде	Файлы
all	9 451,7 Кб	55 720,0 Кб	[список файлов]