How to Install and Uninstall python3-symfit Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: November 22,2024

You can also install and uninstall the python3-symfit on the following distributions in the same way, as they are all based on the Ubuntu system

Kubuntu 22.04 LTS
Lubuntu 22.04 LTS
Xubuntu 22.04 LTS
Ubuntu MATE 22.04 LTS
Ubuntu Studio 22.04 LTS
Pop!_OS 22.04 LTS
Zorin OS 16 / Zorin OS 17
Ubuntu Budgie 22.04

1. Install "python3-symfit" package

This guide covers the steps necessary to install python3-symfit on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-symfit
            
                    
    
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2. Uninstall "python3-symfit" package

Learn how to uninstall python3-symfit on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
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                sudo apt remove
            
                        
                python3-symfit
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-symfit package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: python3-symfit
Architecture: all
Version: 0.5.4-1
Priority: optional
Section: universe/python
Source: symfit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Stephan Lachnit
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 232
Depends: python3-numpy, python3-pkg-resources, python3-scipy, python3-sympy, python3-toposort, python3:any
Filename: pool/universe/s/symfit/python3-symfit_0.5.4-1_all.deb
Size: 46386
MD5sum: eea2e559353c48a9503f403e13c73b73
SHA1: 5b8600da41d7291611249e920d7b5b2233dd360f
SHA256: f088cb447ab41a4dc431548a102afcd8fe6f4e831c220458a649e632010e4619
SHA512: d5c03500197280832f6716ac52a0ab1b8327da208ad813f67b070a9429977dd724433f43d680f7b5761ad4aad9343b15e766a2046606fc83c141fa80dfca5109
Homepage: https://github.com/tBuLi/symfit
Description: Symbolic Fitting in Python, fitting as it should be
Description-md5: 8757a2b4928fda39f622c0f7afc30963