How to Install and Uninstall python3-multiprocess.noarch Package on Fedora 36

Last updated: January 10,2025

1. Install "python3-multiprocess.noarch" package

Please follow the instructions below to install python3-multiprocess.noarch on Fedora 36


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-multiprocess.noarch
            
                    
    
    Copied

2. Uninstall "python3-multiprocess.noarch" package

In this section, we are going to explain the necessary steps to uninstall python3-multiprocess.noarch on Fedora 36:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-multiprocess.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-multiprocess.noarch package on Fedora 36

Last metadata expiration check: 4:49:50 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-multiprocess
Version : 0.70.12.2
Release : 2.fc36
Architecture : noarch
Size : 265 k
Source : python-multiprocess-0.70.12.2-2.fc36.src.rpm
Repository : fedora
Summary : Better multiprocessing and multithreading in python
URL : https://pypi.org/pypi/multiprocess
License : BSD
Description : multiprocess is a fork of multiprocessing, and is developed as part of
: pathos: https://github.com/uqfoundation/pathos
:
: multiprocessing is a package for the Python language which supports the
: spawning of processes using the API of the standard library’s threading module.
: multiprocessing has been distributed in the standard library since python 2.6.
:
: Features:
:
: - Objects can be transferred between processes using pipes or
: multi-producer/multi-consumer queues.
: - Objects can be shared between processes using a server process or
: (for simple data) shared memory.
: - Equivalents of all the synchronization primitives in threading are
: available.
: - A Pool class makes it easy to submit tasks to a pool of worker
: processes.
:
: multiprocess is part of pathos, a python framework for heterogeneous
: computing. multiprocess is in active development, so any user feedback,
: bug reports, comments, or suggestions are highly appreciated. A list of
: issues is located at
: https://github.com/uqfoundation/multiprocess/issues, with a legacy list
: maintained at https://uqfoundation.github.io/project/pathos/query.