How to Install and Uninstall python3-plfit Package on Ubuntu 24.04 LTS (Noble Numbat)
Last updated: November 23,2024
1. Install "python3-plfit" package
Please follow the instructions below to install python3-plfit on Ubuntu 24.04 LTS (Noble Numbat)
$
sudo apt update
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$
sudo apt install
python3-plfit
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2. Uninstall "python3-plfit" package
This guide covers the steps necessary to uninstall python3-plfit on Ubuntu 24.04 LTS (Noble Numbat):
$
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 24.04 LTS (Noble Numbat)
Package: python3-plfit
Architecture: amd64
Version: 0.9.4+ds-1ubuntu2
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 (<< 3.13), python3 (>= 3.12~), python3:any, libc6 (>= 2.4), libplfit0 (>= 0.8.2), libpython3.12 (>= 3.12.1)
Filename: pool/universe/p/plfit/python3-plfit_0.9.4+ds-1ubuntu2_amd64.deb
Size: 24154
MD5sum: 9ca5c36c1388b84b8f8eb3e268591db6
SHA1: 8dc8bb54e0963c556e9809225b139359256f4083
SHA256: 7baf076e807f4acfd0699237417a11bb8ca185c7ebc725db42b4dc6ec417b25c
SHA512: 99a46caf8cc978566f678d5a892548d6f252d294f007a43d1aed8ffa36a4d5c15adc3d203d84dac6a2d392388a0ae0165b292b074efa24c261748781e5f37d4e
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-1ubuntu2
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 (<< 3.13), python3 (>= 3.12~), python3:any, libc6 (>= 2.4), libplfit0 (>= 0.8.2), libpython3.12 (>= 3.12.1)
Filename: pool/universe/p/plfit/python3-plfit_0.9.4+ds-1ubuntu2_amd64.deb
Size: 24154
MD5sum: 9ca5c36c1388b84b8f8eb3e268591db6
SHA1: 8dc8bb54e0963c556e9809225b139359256f4083
SHA256: 7baf076e807f4acfd0699237417a11bb8ca185c7ebc725db42b4dc6ec417b25c
SHA512: 99a46caf8cc978566f678d5a892548d6f252d294f007a43d1aed8ffa36a4d5c15adc3d203d84dac6a2d392388a0ae0165b292b074efa24c261748781e5f37d4e
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- Python
Description-md5: 1ea3011d6b6a8f9d03390857977fc65e