How to Install and Uninstall python3-plfit Package on Linux Mint 21 (Vanessa)
Last updated: November 23,2024
1. Install "python3-plfit" package
This is a short guide on how to install python3-plfit on Linux Mint 21 (Vanessa)
$
sudo apt update
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$
sudo apt install
python3-plfit
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2. Uninstall "python3-plfit" package
Here is a brief guide to show you how to uninstall python3-plfit on Linux Mint 21 (Vanessa):
$
sudo apt remove
python3-plfit
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-plfit package on Linux Mint 21 (Vanessa)
Package: python3-plfit
Architecture: amd64
Version: 0.9.3+ds-1ubuntu1
Priority: optional
Section: universe/python
Source: plfit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 101
Provides: python3.10-plfit
Depends: python3 (<< 3.11), python3 (>= 3.10~), python3:any, libc6 (>= 2.14), libplfit0 (>= 0.8.2), libpython3.10 (>= 3.10.0)
Filename: pool/universe/p/plfit/python3-plfit_0.9.3+ds-1ubuntu1_amd64.deb
Size: 23740
MD5sum: ee5167fc90caf7f213730a821f47d3b8
SHA1: 358ad310bb45e2ab0384d82c8dc52363ffd12e86
SHA256: c5e8f2a16a3da8a3134abe6e4851812175a02d186bdc81848f0c3dd30d5a1a23
SHA512: 57a1e49932261a93a5ec5d0f4a0e89a634d1609777936d5bbf1aa042b187c684bd73c9402f7c7549b57cc2613276f90e63fb633f9166b6477fcd660e05240b72
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- Python
Description-md5: 1ea3011d6b6a8f9d03390857977fc65e
Architecture: amd64
Version: 0.9.3+ds-1ubuntu1
Priority: optional
Section: universe/python
Source: plfit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 101
Provides: python3.10-plfit
Depends: python3 (<< 3.11), python3 (>= 3.10~), python3:any, libc6 (>= 2.14), libplfit0 (>= 0.8.2), libpython3.10 (>= 3.10.0)
Filename: pool/universe/p/plfit/python3-plfit_0.9.3+ds-1ubuntu1_amd64.deb
Size: 23740
MD5sum: ee5167fc90caf7f213730a821f47d3b8
SHA1: 358ad310bb45e2ab0384d82c8dc52363ffd12e86
SHA256: c5e8f2a16a3da8a3134abe6e4851812175a02d186bdc81848f0c3dd30d5a1a23
SHA512: 57a1e49932261a93a5ec5d0f4a0e89a634d1609777936d5bbf1aa042b187c684bd73c9402f7c7549b57cc2613276f90e63fb633f9166b6477fcd660e05240b72
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- Python
Description-md5: 1ea3011d6b6a8f9d03390857977fc65e