Ubuntu
dask package

dask 2.8.0-0ubuntu1 source package in Ubuntu

dask (2.8.0-0ubuntu1) focal; urgency=medium

  * New upstream version.

 -- Matthias Klose <email address hidden>  Tue, 19 Nov 2019 06:29:18 +0100

Series	Pocket	Published	Component	Section

File	Size	SHA-256 Checksum
dask_2.8.0.orig.tar.gz	2.4 MiB	eeaca21cb925faef7d142031bbf9eecc25546defc57b9c7bc899b6febe996583
dask_2.8.0-0ubuntu1.debian.tar.xz	6.6 KiB	391a1dd4e3b6dff7bd3d701a2d01a5b15271041d2933d24791cdf11618a580a5
dask_2.8.0-0ubuntu1.dsc	2.8 KiB	0d90de2e03e25eab3b4f9ba02a6ba2833e47c42b809d0ff92b20c43eb3e025d0

python-dask-doc: 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

python3-dask: 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.