Package: python-dask-doc
Source: dask
Version: 2024.12.1+dfsg-2build1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Python Team <team+python@tracker.debian.org>
Installed-Size: 46016
Depends: libjs-mathjax, node-js-yaml, libjs-sphinxdoc (>= 8.2)
Section: doc
Priority: optional
Homepage: https://github.com/dask/dask
Description: 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
