How to Install and Uninstall python-bumps-doc Package on Ubuntu 20.04 LTS (Focal Fossa)
Last updated: November 23,2024
1. Install "python-bumps-doc" package
Please follow the instructions below to install python-bumps-doc on Ubuntu 20.04 LTS (Focal Fossa)
$
sudo apt update
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$
sudo apt install
python-bumps-doc
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2. Uninstall "python-bumps-doc" package
Please follow the guidelines below to uninstall python-bumps-doc on Ubuntu 20.04 LTS (Focal Fossa):
$
sudo apt remove
python-bumps-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-bumps-doc package on Ubuntu 20.04 LTS (Focal Fossa)
Package: python-bumps-doc
Architecture: all
Version: 0.7.14-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: python-bumps
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9156
Depends: libjs-jquery, libjs-mathjax, libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/p/python-bumps/python-bumps-doc_0.7.14-1_all.deb
Size: 2520868
MD5sum: e91c2dbf7efef64f17859206213e58f7
SHA1: 4d0ed2a12ad99d85b4a1e7d3b34f52b048294671
SHA256: 12cd2134b9f761c5ef8ceff969e7cd6bd6abbd3e856ff185d81c9e8ea543add5
Homepage: https://github.com/bumps/bumps
Description: data fitting and Bayesian uncertainty modeling for inverse problems (docs)
Description-md5: 5702af68b4795b287caa20016881e74b
Architecture: all
Version: 0.7.14-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: python-bumps
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9156
Depends: libjs-jquery, libjs-mathjax, libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/p/python-bumps/python-bumps-doc_0.7.14-1_all.deb
Size: 2520868
MD5sum: e91c2dbf7efef64f17859206213e58f7
SHA1: 4d0ed2a12ad99d85b4a1e7d3b34f52b048294671
SHA256: 12cd2134b9f761c5ef8ceff969e7cd6bd6abbd3e856ff185d81c9e8ea543add5
Homepage: https://github.com/bumps/bumps
Description: data fitting and Bayesian uncertainty modeling for inverse problems (docs)
Description-md5: 5702af68b4795b287caa20016881e74b