How to Install and Uninstall python-bumps-doc Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: April 28,2024

1. Install "python-bumps-doc" package

In this section, we are going to explain the necessary steps to install python-bumps-doc on Ubuntu 22.10 (Kinetic Kudu)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-bumps-doc
            
                    
    
    Copied

2. Uninstall "python-bumps-doc" package

Here is a brief guide to show you how to uninstall python-bumps-doc on Ubuntu 22.10 (Kinetic Kudu):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-bumps-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-bumps-doc package on Ubuntu 22.10 (Kinetic Kudu)

Package: python-bumps-doc
Architecture: all
Version: 0.8.1-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: python-bumps
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7743
Depends: libjs-jquery, libjs-mathjax, libjs-sphinxdoc (>= 4.3)
Filename: pool/universe/p/python-bumps/python-bumps-doc_0.8.1-1_all.deb
Size: 2797096
MD5sum: bb90c8e8503bd3d92c71c6cea59a8766
SHA1: cb15e7c8c6a89b79d8977543e3596b2db90f7ec6
SHA256: 80e15ecb0f5a4f1b0ef50d0a7cb8cbe7d43dd663d1078e8b060f53b914858cd1
SHA512: 9784a9cec0948604d74bc20568eaca51ee0f52dc8b15c3132fc0a2379b3b5f650839b186aac2e7260f7646aeaa188a0b0163cb1d02c4d9d3c49daf56076417b7
Homepage: https://github.com/bumps/bumps
Description: data fitting and Bayesian uncertainty modeling for inverse problems (docs)
Description-md5: 5702af68b4795b287caa20016881e74b