How to Install and Uninstall python-bumps-doc Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 13,2024

1. Install "python-bumps-doc" package

Please follow the steps below to install python-bumps-doc on Ubuntu 24.04 LTS (Noble Numbat)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-bumps-doc
            
                    
    
    Copied

2. Uninstall "python-bumps-doc" package

Please follow the instructions below to uninstall python-bumps-doc on Ubuntu 24.04 LTS (Noble Numbat):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-bumps-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-bumps-doc package on Ubuntu 24.04 LTS (Noble Numbat)

Package: python-bumps-doc
Architecture: all
Version: 0.9.1-2
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: 7903
Depends: libjs-jquery, libjs-mathjax, libjs-sphinxdoc (>= 7.2.2)
Filename: pool/universe/p/python-bumps/python-bumps-doc_0.9.1-2_all.deb
Size: 2806918
MD5sum: 97029ca2ea96a2973c34e423877c4f41
SHA1: 144f9e1f83193e5000484f73a89f82e1c0823f58
SHA256: 4674da48ca762fdaf383c6cbb4451c9fd6a4bbdfbda52ee56c2e397e008d665d
SHA512: d743e09859d6b697b61b65ad45cd61a2145495f416d730389146a49f134667822f999d75047c056dec79682d162ef84bed263dca60a9acb061e9a773cf247447
Homepage: https://github.com/bumps/bumps
Description: data fitting and Bayesian uncertainty modeling for inverse problems (docs)
Description-md5: 5702af68b4795b287caa20016881e74b