How to Install and Uninstall libplfit-dev Package on Ubuntu 22.10 (Kinetic Kudu)
Last updated: November 26,2024
1. Install "libplfit-dev" package
In this section, we are going to explain the necessary steps to install libplfit-dev on Ubuntu 22.10 (Kinetic Kudu)
$
sudo apt update
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$
sudo apt install
libplfit-dev
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2. Uninstall "libplfit-dev" package
Learn how to uninstall libplfit-dev on Ubuntu 22.10 (Kinetic Kudu):
$
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 22.10 (Kinetic Kudu)
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
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