How to Install and Uninstall python3-joblib Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: January 11,2025

1. Install "python3-joblib" package

Here is a brief guide to show you how to install python3-joblib on Ubuntu 22.10 (Kinetic Kudu)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-joblib
            
                    
    
    Copied

2. Uninstall "python3-joblib" package

Please follow the steps below to uninstall python3-joblib on Ubuntu 22.10 (Kinetic Kudu):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-joblib
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-joblib package on Ubuntu 22.10 (Kinetic Kudu)

Package: python3-joblib
Architecture: all
Version: 1.1.0-2
Priority: optional
Section: universe/python
Source: joblib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 986
Depends: python3:any, procps, python3-pkg-resources
Recommends: python3-numpy, python3-pytest, python3-simplejson, python3-psutil
Filename: pool/universe/j/joblib/python3-joblib_1.1.0-2_all.deb
Size: 207006
MD5sum: d9d3068ee95286da10d52ebd9c0c1d27
SHA1: cd1db16217a6a128ac57e8c1816a92724eac72d3
SHA256: 8e5f5cae4e5c03ac8b16fb39cc4ad3ff4b99b8071e4966fe38de7727e81ea4b4
SHA512: e8361488085de84dcf3fa5b4710fbf74134e624757be0ea9688022af45d5d659af5db408f31be9ac2e75dce1fe193dfe22d76916da48dafec75f412ded3782d8
Homepage: https://github.com/joblib/joblib
Description: tools to provide lightweight pipelining in Python
Description-md5: d9cbe6074eb37b71b9b1da9e9ad4a60d