How to Install and Uninstall libplfit-dev Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: December 23,2024

You can also install and uninstall the libplfit-dev 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 "libplfit-dev" package

This guide let you learn how to install libplfit-dev on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libplfit-dev
            
                    
    
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2. Uninstall "libplfit-dev" package

Please follow the guidance below to uninstall libplfit-dev on Ubuntu 22.04 LTS (Jammy Jellyfish):


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

Package: libplfit-dev
Architecture: amd64
Version: 0.9.3+ds-1ubuntu1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: plfit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 135
Depends: libplfit0 (= 0.9.3+ds-1ubuntu1)
Suggests: plfit-doc
Filename: pool/universe/p/plfit/libplfit-dev_0.9.3+ds-1ubuntu1_amd64.deb
Size: 37398
MD5sum: 361bed71c8dff511c269c83c80324a30
SHA1: ffdbd5775fa02e7f58a823d9ef897245d7c9489a
SHA256: 7d506cb9d92cca72879e7ccde418d515cec3f8ad7b122400b6e718f09ce2b23c
SHA512: 27c3b7a3c768927a7d48df562c8487f699343463bd17e68438589541fb442dcfa226e7c83839cba06dd05592b1d5190de41a5ad7a8e363698b93a089a3a71a73
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- development
Description-md5: 44678bda1dd2bf546eb71ee2789f7da0