How to Install and Uninstall python3-celery Package on Kali Linux

Last updated: December 24,2024

1. Install "python3-celery" package

Please follow the steps below to install python3-celery on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-celery
            
                    
    
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2. Uninstall "python3-celery" package

This is a short guide on how to uninstall python3-celery on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-celery
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-celery package on Kali Linux

Package: python3-celery
Source: celery
Version: 5.3.4-2
Installed-Size: 1497
Maintainer: Debian Python Team
Architecture: all
Depends: python3-billiard (>= 4.0.2), python3-click-didyoumean, python3-click-repl, python3-dateutil, python3-ephem, python3-kombu (>= 5.0), python3-memcache, python3-pkg-resources, python3-pyparsing, python3-tz, python3-vine (>= 5.0), python3-click, python3-click-plugins, python3-importlib-metadata | python3-supported-min (>= 3.8), python3:any
Suggests: python-celery-doc, python3-redis, python3-sqlalchemy
Size: 309072
SHA256: 48b0c93bbcd4fa7eecfa7d9df39e30a5342d81960c5408bca05654fd68ffbdbd
SHA1: f15ba516ad4ed2c0412b5cf2d075c1c0dcd32736
MD5sum: 3d427e97b62368f1f51fd295dbee18fe
Description: async task/job queue based on message passing (Python3 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 3 version of the library.
Description-md5:
Homepage: https://docs.celeryq.dev/
Section: python
Priority: optional
Filename: pool/main/c/celery/python3-celery_5.3.4-2_all.deb