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

Last updated: May 18,2024

1. Install "python-celery-common" package

Please follow the step by step instructions below to install python-celery-common on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-celery-common
            
                    
    
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2. Uninstall "python-celery-common" package

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


    
        
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                sudo apt remove
            
                        
                python-celery-common
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-celery-common package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-celery-common
Priority: optional
Section: universe/python
Installed-Size: 68
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: celery
Version: 3.1.20-1
Replaces: python-celery (<< 3.1.12-2)
Depends: python3-celery (= 3.1.20-1) | python-celery (= 3.1.20-1)
Breaks: python-celery (<< 3.1.12-2)
Filename: pool/universe/c/celery/python-celery-common_3.1.20-1_all.deb
Size: 14858
MD5sum: 3d48865bbc840dcb54c43b3fa3ece90a
SHA1: f58f0fc9485d61a748ce41816f8bf2a736023510
SHA256: e3f47ce67fcfa2bad3d249455a20b3ecc330a804b60c4e609657736ce6bc93f7
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.
.
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 common files of the library.
Description-md5: 44cd3c8b1cd209fca968d7d2d734bf7a
Homepage: http://www.celeryproject.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu