How to Install and Uninstall celery Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "celery" package

This is a short guide on how to install celery on Ubuntu 20.10 (Groovy Gorilla)


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

Here is a brief guide to show you how to uninstall celery on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                celery
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the celery package on Ubuntu 20.10 (Groovy Gorilla)

Package: celery
Architecture: all
Version: 4.4.6-1
Priority: optional
Section: universe/net
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 92
Depends: python3-celery (= 4.4.6-1)
Breaks: python-celery-common (<< 4.4.2-3)
Replaces: python-celery-common (<< 4.4.2-3)
Filename: pool/universe/c/celery/celery_4.4.6-1_all.deb
Size: 20256
MD5sum: 7575b490d9f09837e2b5f9f0b57df593
SHA1: 851066f236e5f1cd335ebc5414001b6b78182c91
SHA256: 151151567b64e9a3d3346ac6400686ec4f2dca83deb2022826c385776083ff0f
SHA512: 99aeeab9de308b57751483dacaa933b18c17ca9db779e68fd3464c9104d2d39e6b32b9adda6d9804ac26658760d51e928b35ca4492947915a93553095e9d2f3f
Homepage: http://www.celeryproject.org/
Description-en: async task/job queue based on message passing (common files)
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 common files of the library.
Description-md5: 44cd3c8b1cd209fca968d7d2d734bf7a