How to Install and Uninstall python3-celery Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 18,2024

1. Install "python3-celery" package

Here is a brief guide to show you how to install python3-celery on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-celery
            
                    
    
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2. Uninstall "python3-celery" package

Please follow the step by step instructions below to uninstall python3-celery on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                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 16.04 LTS (Xenial Xerus)

Package: python3-celery
Priority: optional
Section: universe/python
Installed-Size: 1947
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: celery
Version: 3.1.20-1
Depends: python3-billiard (>= 3.3.0.22), python3-dateutil, python3-kombu (>= 3.0.33), python3-memcache, python3-pkg-resources, python3-pyparsing, python3-tz, python3:any (>= 3.3.2-2~)
Suggests: python-celery-doc, python3-redis, python3-sqlalchemy
Filename: pool/universe/c/celery/python3-celery_3.1.20-1_all.deb
Size: 338250
MD5sum: cdee935f8ccd85eccee7ebccdd81cca3
SHA1: bdb77cb053f62b9b4c1e37163f318cef89a9bf2e
SHA256: 018045cb8ef609663c9abd1f4433853a9fd9632a91a5123ee457b32a47fce0d7
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.
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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).
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Celery is written in Python, but the protocol can be implemented
in any language. It can also operate with other languages using
webhooks.
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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.
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This package contains the Python 3 version of the library.
Description-md5: e82e5099e2ae085695f07c4dafce88d9
Homepage: http://www.celeryproject.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu