How to Install and Uninstall python3-plfit Package on Ubuntu 23.10 (Mantic Minotaur)
Last updated: November 07,2024
1. Install "python3-plfit" package
Please follow the instructions below to install python3-plfit on Ubuntu 23.10 (Mantic Minotaur)
$
sudo apt update
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$
sudo apt install
python3-plfit
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2. Uninstall "python3-plfit" package
This tutorial shows how to uninstall python3-plfit on Ubuntu 23.10 (Mantic Minotaur):
$
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 Ubuntu 23.10 (Mantic Minotaur)
Package: python3-plfit
Architecture: amd64
Version: 0.9.4+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
Depends: python3 (<< 3.12), python3 (>= 3.11~), python3:any, libc6 (>= 2.14), libplfit0 (>= 0.8.2), libpython3.11 (>= 3.11.0)
Filename: pool/universe/p/plfit/python3-plfit_0.9.4+ds-1ubuntu1_amd64.deb
Size: 23736
MD5sum: 0f3c0ee603d41d204e760e2b2a69e381
SHA1: 64cd06acd294c0c2906b473b0a47bb980146ec17
SHA256: aeb416b7a0f5c225af0b77efad9dd1fecd29c86d0f9345644ea96f9d2e583b38
SHA512: a17aff9eafd10a3328c9177e2fb11fcb2b36ae38b4f884b5e394c13886ca16ef3b54e2bf8df64334a4f62fabbe2c8fa2ef3f9eb90331b48ca5b93c5f3e4d6863
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- Python
Description-md5: 1ea3011d6b6a8f9d03390857977fc65e
Architecture: amd64
Version: 0.9.4+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
Depends: python3 (<< 3.12), python3 (>= 3.11~), python3:any, libc6 (>= 2.14), libplfit0 (>= 0.8.2), libpython3.11 (>= 3.11.0)
Filename: pool/universe/p/plfit/python3-plfit_0.9.4+ds-1ubuntu1_amd64.deb
Size: 23736
MD5sum: 0f3c0ee603d41d204e760e2b2a69e381
SHA1: 64cd06acd294c0c2906b473b0a47bb980146ec17
SHA256: aeb416b7a0f5c225af0b77efad9dd1fecd29c86d0f9345644ea96f9d2e583b38
SHA512: a17aff9eafd10a3328c9177e2fb11fcb2b36ae38b4f884b5e394c13886ca16ef3b54e2bf8df64334a4f62fabbe2c8fa2ef3f9eb90331b48ca5b93c5f3e4d6863
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- Python
Description-md5: 1ea3011d6b6a8f9d03390857977fc65e