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

Last updated: May 20,2024

1. Install "python-celery" package

In this section, we are going to explain the necessary steps to install python-celery on Ubuntu 16.04 LTS (Xenial Xerus)


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

Learn how to uninstall python-celery on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-celery
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-celery package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-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: python-billiard (>= 3.3.0.22), python-dateutil (>= 1.5), python-kombu (>= 3.0.33), python-mailer, python-memcache, python-pkg-resources, python-pyparsing, python-tz, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Suggests: python-celery-doc, python-gevent, python-pytyrant, python-redis, python-sqlalchemy
Filename: pool/universe/c/celery/python-celery_3.1.20-1_all.deb
Size: 338162
MD5sum: 32e8bc87805f2b0b20819032244d062b
SHA1: 3905bd1adbdc250fd5460e66bb8c319e1e0e24f2
SHA256: 2e0ed8aa65aae738157772a5e04a3762b44ddd77ef47e96c42dadebcb2dc97d8
Description-en: async task/job queue based on message passing (Python2 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 2 version of the library.
Description-md5: 1851dfe6c772deec9c2b15f31014e09e
Homepage: http://www.celeryproject.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu