How to Install and Uninstall python3-celery Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 22,2024
1. Install "python3-celery" package
This guide let you learn how to install python3-celery on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-celery
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2. Uninstall "python3-celery" package
In this section, we are going to explain the necessary steps to uninstall python3-celery on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-celery
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-celery package on Ubuntu 21.10 (Impish Indri)
Package: python3-celery
Architecture: all
Version: 5.0.0-3
Priority: optional
Section: universe/python
Source: celery
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1375
Depends: python3-billiard (>= 3.6.3.0), python3-click-didyoumean, python3-click-repl, python3-dateutil, python3-ephem, python3-kombu (>= 5.0), python3-memcache, python3-pkg-resources, python3-pyparsing, python3-tz, python3-vine (>= 5.0), python3-click, python3:any
Suggests: python-celery-doc, python3-redis, python3-sqlalchemy
Filename: pool/universe/c/celery/python3-celery_5.0.0-3_all.deb
Size: 273560
MD5sum: 2777391ab44e6a67fee3f29e1f61a86d
SHA1: a0f033e31ed771e5d1c3151dc90dafee94d63e47
SHA256: b2e949e294ebac79a4fa5b6afff5b130a65e98bf53a021c9488e539538d92294
SHA512: 0160732c00ddd95539e472f7ee9e4e793993a9e894dd7f30441e5fa2ec3f1f5231dc2db3c3d2135c70ca6a2a6ef320d9a74b50bfb5ebee746a0ffcb94f148498
Homepage: http://www.celeryproject.org/
Description-en: async task/job queue based on message passing (Python3 version)
Celery is an open source asynchronous task queue/job queue based on
distributed message passing. It is focused on real-time operation,
but supports scheduling as well.
.
The execution units, called tasks, are executed concurrently on one
or more worker nodes. Tasks can execute asynchronously (in the
background) or synchronously (wait until ready).
.
Celery is written in Python, but the protocol can be implemented
in any language. It can also operate with other languages using
webhooks.
.
The recommended message broker is RabbitMQ, but limited support for Redis,
Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
ORM) is also available. Celery is easy to integrate with Django, using the
python-django-celery package.
.
This package contains the Python 3 version of the library.
Description-md5: e82e5099e2ae085695f07c4dafce88d9
Architecture: all
Version: 5.0.0-3
Priority: optional
Section: universe/python
Source: celery
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1375
Depends: python3-billiard (>= 3.6.3.0), python3-click-didyoumean, python3-click-repl, python3-dateutil, python3-ephem, python3-kombu (>= 5.0), python3-memcache, python3-pkg-resources, python3-pyparsing, python3-tz, python3-vine (>= 5.0), python3-click, python3:any
Suggests: python-celery-doc, python3-redis, python3-sqlalchemy
Filename: pool/universe/c/celery/python3-celery_5.0.0-3_all.deb
Size: 273560
MD5sum: 2777391ab44e6a67fee3f29e1f61a86d
SHA1: a0f033e31ed771e5d1c3151dc90dafee94d63e47
SHA256: b2e949e294ebac79a4fa5b6afff5b130a65e98bf53a021c9488e539538d92294
SHA512: 0160732c00ddd95539e472f7ee9e4e793993a9e894dd7f30441e5fa2ec3f1f5231dc2db3c3d2135c70ca6a2a6ef320d9a74b50bfb5ebee746a0ffcb94f148498
Homepage: http://www.celeryproject.org/
Description-en: async task/job queue based on message passing (Python3 version)
Celery is an open source asynchronous task queue/job queue based on
distributed message passing. It is focused on real-time operation,
but supports scheduling as well.
.
The execution units, called tasks, are executed concurrently on one
or more worker nodes. Tasks can execute asynchronously (in the
background) or synchronously (wait until ready).
.
Celery is written in Python, but the protocol can be implemented
in any language. It can also operate with other languages using
webhooks.
.
The recommended message broker is RabbitMQ, but limited support for Redis,
Beanstalk, MongoDB, CouchDB, and databases (using SQLAlchemy or the Django
ORM) is also available. Celery is easy to integrate with Django, using the
python-django-celery package.
.
This package contains the Python 3 version of the library.
Description-md5: e82e5099e2ae085695f07c4dafce88d9