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

Last updated: September 20,2024

1. Install "python-celery-doc" package

This tutorial shows how to install python-celery-doc on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-celery-doc
            
                    
    
    Copied

2. Uninstall "python-celery-doc" package

Please follow the guidance below to uninstall python-celery-doc on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-celery-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python-celery-doc
Priority: optional
Section: universe/doc
Installed-Size: 12428
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: celery
Version: 3.1.20-1
Depends: libjs-jquery, libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/c/celery/python-celery-doc_3.1.20-1_all.deb
Size: 1506038
MD5sum: 0e0b2afde28b4524fb0adba843e4eee1
SHA1: dcfb937247589095abd5a5b5d5ac86ee19997b21
SHA256: 01d081077f4b6540c95d1f037a9736fd7471415063c3db7a27790fa415c143af
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
Homepage: http://www.celeryproject.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu