How to Install and Uninstall plfit-doc Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: November 07,2024

You can also install and uninstall the plfit-doc 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 "plfit-doc" package

Please follow the step by step instructions below to install plfit-doc on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                plfit-doc
            
                    
    
    Copied

2. Uninstall "plfit-doc" package

This tutorial shows how to uninstall plfit-doc on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                plfit-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the plfit-doc package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: plfit-doc
Architecture: all
Version: 0.9.3+ds-1ubuntu1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: plfit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 511
Enhances: libplfit-dev (= 0.9.3+ds-1ubuntu1), plfit (= 0.9.3+ds-1ubuntu1), python3-plfit (= 0.9.3+ds-1ubuntu1)
Filename: pool/universe/p/plfit/plfit-doc_0.9.3+ds-1ubuntu1_all.deb
Size: 95742
MD5sum: a66185992497aa585f7590351cabd748
SHA1: 259995bdeb0e47a1c5056df86e25199fdb0ce9d8
SHA256: f6d7ff4fbbe1a51d6fba2934cac2efe90783087a4ae34ea348e17438edbdb31a
SHA512: ef11088c098f7aead874607845864bfa33870b98942dac21b66c08e15e7087d63c3ea54fe9934d6b1febf7cb1e0146526469199edb807684bcfca53a15646dcb
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- doc
Description-md5: 0b4c7e29b5902a37f1b29938923892e4