How to Install and Uninstall plfit-doc Package on Ubuntu 24.04 LTS (Noble Numbat)
Last updated: November 07,2024
1. Install "plfit-doc" package
Please follow the guidance below to install plfit-doc on Ubuntu 24.04 LTS (Noble Numbat)
$
sudo apt update
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$
sudo apt install
plfit-doc
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2. Uninstall "plfit-doc" package
Please follow the guidance below to uninstall plfit-doc on Ubuntu 24.04 LTS (Noble Numbat):
$
sudo apt remove
plfit-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the plfit-doc package on Ubuntu 24.04 LTS (Noble Numbat)
Package: plfit-doc
Architecture: all
Version: 0.9.4+ds-1ubuntu2
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 (= 0.9.4+ds-1ubuntu2), plfit (= 0.9.4+ds-1ubuntu2), python3-plfit (= 0.9.4+ds-1ubuntu2)
Filename: pool/universe/p/plfit/plfit-doc_0.9.4+ds-1ubuntu2_all.deb
Size: 94884
MD5sum: 7b99a39435e39beaa86cb86a3f38e610
SHA1: ba5e387bbe836c2e516492d44269ca282d3e91a8
SHA256: e78e685852be9e8ebca78e068e0d2e7cbf5c7f0f6f4b1094faef4eed3f472907
SHA512: a20b6169e229aaa9780c8e6bf524a859ce93ecb11c588518ed3f8f9e1a60c3df22cbe9dc8ae0c19e8bb60ea894ae438a3891d7899a34ae0bc311ecbb91af8667
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- doc
Description-md5: 0b4c7e29b5902a37f1b29938923892e4
Architecture: all
Version: 0.9.4+ds-1ubuntu2
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 (= 0.9.4+ds-1ubuntu2), plfit (= 0.9.4+ds-1ubuntu2), python3-plfit (= 0.9.4+ds-1ubuntu2)
Filename: pool/universe/p/plfit/plfit-doc_0.9.4+ds-1ubuntu2_all.deb
Size: 94884
MD5sum: 7b99a39435e39beaa86cb86a3f38e610
SHA1: ba5e387bbe836c2e516492d44269ca282d3e91a8
SHA256: e78e685852be9e8ebca78e068e0d2e7cbf5c7f0f6f4b1094faef4eed3f472907
SHA512: a20b6169e229aaa9780c8e6bf524a859ce93ecb11c588518ed3f8f9e1a60c3df22cbe9dc8ae0c19e8bb60ea894ae438a3891d7899a34ae0bc311ecbb91af8667
Homepage: https://github.com/ntamas/plfit
Description: fitting power-law distributions to empirical data -- doc
Description-md5: 0b4c7e29b5902a37f1b29938923892e4