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

Last updated: January 11,2025

1. Install "python-pyomop-doc" package

In this section, we are going to explain the necessary steps to install python-pyomop-doc on Ubuntu 24.04 LTS (Noble Numbat)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-pyomop-doc
            
                    
    
    Copied

2. Uninstall "python-pyomop-doc" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-pyomop-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python-pyomop-doc
Architecture: all
Version: 4.2.0-1
Priority: optional
Section: universe/doc
Source: python-pyomop
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 809
Depends: libjs-sphinxdoc (>= 7.2.2)
Filename: pool/universe/p/python-pyomop/python-pyomop-doc_4.2.0-1_all.deb
Size: 69540
MD5sum: 01fa1e0e441490eb91acdcfdb4c5224b
SHA1: 79cd7491e623decf68ce535e80fb6a9748197717
SHA256: e5863ed4b13767022100ed4e139ad729b82b95f263e3805aa0b14d64a474124c
SHA512: 80078858fe96401e802c1741813653501993f9dfd1e2a19a30dd478cf0d2812ed3b64f9bef8a317012d4a218ee04e290a9a140eb7cb279840ae12ded7e6388fc
Homepage: https://github.com/dermatologist/pyomop
Description: OHSDI OMOP Common Data Model tools (Documentation)
Description-md5: a0476a52a925963da6305821460e252f