How to Install and Uninstall python3-symfit-doc Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 12,2024

1. Install "python3-symfit-doc" package

Here is a brief guide to show you how to install python3-symfit-doc on Ubuntu 24.04 LTS (Noble Numbat)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-symfit-doc
            
                    
    
    Copied

2. Uninstall "python3-symfit-doc" package

Please follow the step by step instructions below to uninstall python3-symfit-doc on Ubuntu 24.04 LTS (Noble Numbat):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-symfit-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-symfit-doc package on Ubuntu 24.04 LTS (Noble Numbat)

Package: python3-symfit-doc
Architecture: all
Version: 0.5.6-2
Priority: optional
Section: universe/doc
Source: symfit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2875
Depends: libjs-sphinxdoc (>= 5.2), libjs-mathjax, libjs-requirejs, python3-doc, python-sympy-doc, python-scipy-doc
Filename: pool/universe/s/symfit/python3-symfit-doc_0.5.6-2_all.deb
Size: 1117930
MD5sum: d70c96ce064e7d8f5343d9317180829e
SHA1: 850d079c2c9ad8e1e65211840cce7452d8753a0b
SHA256: e1d8a0758935637e1e719b24a528e9b6a73fb92e904dbfaa9e57ea240d2dbf16
SHA512: 38cbbd62ee989a270ec50d9a49e73713a0923176f0bd8e5b29a3255a804ffbfdee31c80b9ae96aa37c886223d280cf898d78aa4cb376c6a928637fc4e8a3a4b3
Homepage: https://github.com/tBuLi/symfit
Description: Symbolic Fitting in Python, fitting as it should be - documentation
Description-md5: ec2c46ff27dce3592a7f9f4a33b105f9