How to Install and Uninstall python3-dask Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "python3-dask" package

Please follow the step by step instructions below to install python3-dask on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python3-dask

2. Uninstall "python3-dask" package

Please follow the guidelines below to uninstall python3-dask on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python3-dask $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-dask package on Ubuntu 21.10 (Impish Indri)

Package: python3-dask
Architecture: all
Version: 2021.01.0+dfsg-1ubuntu1
Priority: optional
Section: universe/python
Source: dask
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3640
Depends: python3-fsspec, python3-toolz, python3-yaml, python3:any
Recommends: python3-cloudpickle, python3-numpy, python3-pandas, python3-partd, python3-requests
Suggests: ipython, python-dask-doc, python3-bcolz, python3-blosc, python3-boto, python3-distributed (>= 1.21), python3-graphviz, python3-h5py, python3-psutil, python3-scipy, python3-skimage, python3-sklearn, python3-sqlalchemy, python3-tables
Filename: pool/universe/d/dask/python3-dask_2021.01.0+dfsg-1ubuntu1_all.deb
Size: 617320
MD5sum: 50ddbe52084d0380458e96593e5b9978
SHA1: d5bf8b65c3d037e13a9184920bcfc5214e15ea7f
SHA256: 688badd445d416a0ea0b6694b5219860fa2bd3c062d51f43efda28b1e65c78a5
SHA512: 73d0618a5e04cbfba2d4e6c2972858deeb0c6c1fa863d10681b0a82806d62722d5d827a64e3359257128833ea67157ad1af944742f233988277e4e0c63c88274
Homepage: https://github.com/dask/dask
Description-en: 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.
Description-md5: 8ccf60b157f0812944e076d85706353a