How to Install and Uninstall python3-celery.noarch Package on CentOS Stream 8

Last updated: January 19,2025

1. Install "python3-celery.noarch" package

In this section, we are going to explain the necessary steps to install python3-celery.noarch on CentOS Stream 8


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                python3-celery.noarch
            
                    
    
    Copied

2. Uninstall "python3-celery.noarch" package

This guide let you learn how to uninstall python3-celery.noarch on CentOS Stream 8:


    
        
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                sudo dnf remove
            
                        
                python3-celery.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-celery.noarch package on CentOS Stream 8

Last metadata expiration check: 0:23:43 ago on Sun Feb 25 03:03:59 2024.
Available Packages
Name : python3-celery
Version : 4.3.0
Release : 5.el8
Architecture : noarch
Size : 736 k
Source : python-celery-4.3.0-5.el8.src.rpm
Repository : epel
Summary : Distributed Task Queue
URL : http://celeryproject.org
License : BSD
Description : 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 using multiprocessing, Eventlet
: or gevent. Tasks can execute asynchronously (in the background)
: or synchronously (wait until ready).
:
: Celery is used in production systems to process millions of
: tasks a day.
:
: Celery is written in Python, but the protocol can be implemented
: in any language. It can also operate with other languages using
: web hooks.
:
: 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.