How to Install and Uninstall python-celery-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "python-celery-doc" package

This guide let you learn how to install python-celery-doc on Ubuntu 21.10 (Impish Indri)


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

This guide let you learn how to uninstall python-celery-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python-celery-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-celery-doc package on Ubuntu 21.10 (Impish Indri)

Package: python-celery-doc
Architecture: all
Version: 5.0.0-3
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: celery
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 15703
Depends: libjs-jquery, libjs-sphinxdoc (>= 2.4.3-5~)
Filename: pool/universe/c/celery/python-celery-doc_5.0.0-3_all.deb
Size: 1702288
MD5sum: 930977e89fcb250766bbc58c8ba8148c
SHA1: ab8ce82c70b537d1c01f9c1ede22e1d44cb344b6
SHA256: 74e81109208c0e9cb164a6224582f72e2530c31d5c7666fd33fcfcd8f79d565a
SHA512: d0e8986a2b2e442c965fc8f625da61941bd670d0509649268c0f0707863f54c004deedbfb74056c8a327a33d8dfb08c907b09efcc13cb05c5e5647d7b10d70ab
Homepage: http://www.celeryproject.org/
Description-en: async task/job queue based on message passing (Documentation)
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 documentation.
Description-md5: 95fc6dff7380be4c62fe3af0892bcc80