Paket: python-dask-doc (1.0.0+dfsg-2)

[ Quellcode: 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

Andere Pakete mit Bezug zu python-dask-doc

• dep: libjs-mathjax

  JavaScript-Engine zur Anzeige von LaTeX und MathML

• dep: libjs-sphinxdoc (>= 1.0)

  JavaScript-Unterstützung für Sphinx-Dokumentation

• dep: sphinx-rtd-theme-common (>= 0.4.2+dfsg)

  sphinx theme from readthedocs.org (common files)

python-dask-doc herunterladen

Download für alle verfügbaren Architekturen

Architektur	Paketgröße	Größe (installiert)	Dateien
all	1.796,3 kB	8.010,0 kB	[Liste der Dateien]