How to Install and Uninstall python-celery-doc Package on Kali Linux

Last updated: December 24,2024

1. Install "python-celery-doc" package

Please follow the instructions below to install python-celery-doc on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-celery-doc
            
                    
    
    Copied

2. Uninstall "python-celery-doc" package

This guide let you learn how to uninstall python-celery-doc on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-celery-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-celery-doc package on Kali Linux

Package: python-celery-doc
Source: celery
Version: 5.3.4-2
Installed-Size: 16291
Maintainer: Debian Python Team
Architecture: all
Depends: libjs-jquery, libjs-sphinxdoc (>= 5.2)
Size: 1661436
SHA256: c18fd3ea899d0fda35f33885a02e0da449797ad48a69d89d98fefa1d50a16af6
SHA1: 17085f09fd13f99d0969374b7bf527b90ec643f9
MD5sum: e56291b6ce38ebf0bdde2b32072c1a2e
Description: 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:
Multi-Arch: foreign
Homepage: https://docs.celeryq.dev/
Section: doc
Priority: optional
Filename: pool/main/c/celery/python-celery-doc_5.3.4-2_all.deb