How to Install and Uninstall celery Package on Kali Linux

Last updated: November 22,2024

1. Install "celery" package

Please follow the guidelines below to install celery on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                celery
            
                    
    
    Copied

2. Uninstall "celery" package

In this section, we are going to explain the necessary steps to uninstall celery on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                celery
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the celery package on Kali Linux

Package: celery
Version: 5.3.4-2
Installed-Size: 145
Maintainer: Debian Python Team
Architecture: all
Replaces: python-celery-common (<< 4.4.2-3)
Depends: python3-celery (= 5.3.4-2)
Breaks: python-celery-common (<< 4.4.2-3)
Size: 45092
SHA256: 8fe8d0128a6ab36b7adde86056b74e96e21b60ef1bb8201633ec5c07a20c915f
SHA1: 574e698b502f9b7bf6b9c7f2b07ba2229c083111
MD5sum: ab2276cae34fe3faf26ebdaec7891417
Description: 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:
Homepage: https://docs.celeryq.dev/
Section: net
Priority: optional
Filename: pool/main/c/celery/celery_5.3.4-2_all.deb