How to Install and Uninstall python-pretty-yaml Package on Ubuntu 18.04 LTS (Bionic Beaver)
Last updated: November 26,2024
1. Install "python-pretty-yaml" package
This tutorial shows how to install python-pretty-yaml on Ubuntu 18.04 LTS (Bionic Beaver)
$
sudo apt update
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$
sudo apt install
python-pretty-yaml
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2. Uninstall "python-pretty-yaml" package
This guide covers the steps necessary to uninstall python-pretty-yaml on Ubuntu 18.04 LTS (Bionic Beaver):
$
sudo apt remove
python-pretty-yaml
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-pretty-yaml package on Ubuntu 18.04 LTS (Bionic Beaver)
Package: python-pretty-yaml
Architecture: all
Version: 17.12.1-1
Priority: optional
Section: universe/python
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Sascha Steinbiss
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 56
Depends: python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-unidecode
Filename: pool/universe/p/python-pretty-yaml/python-pretty-yaml_17.12.1-1_all.deb
Size: 16064
MD5sum: d6ef47741fb08af830c955a400adbd6d
SHA1: 76e930329f2be7daa42cf219a31893e871992c81
SHA256: 1a6d42e3396cc62f40a1fb98c883b83fc9cbb9d542461634d15dafdbfb0940b4
Homepage: https://github.com/mk-fg/pretty-yaml
Description: module to produce pretty and readable YAML-serialized data (Python 2)
Description-md5: 14e7898dfa68c96b1197649401ebeafc
Architecture: all
Version: 17.12.1-1
Priority: optional
Section: universe/python
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Sascha Steinbiss
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 56
Depends: python-yaml, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-unidecode
Filename: pool/universe/p/python-pretty-yaml/python-pretty-yaml_17.12.1-1_all.deb
Size: 16064
MD5sum: d6ef47741fb08af830c955a400adbd6d
SHA1: 76e930329f2be7daa42cf219a31893e871992c81
SHA256: 1a6d42e3396cc62f40a1fb98c883b83fc9cbb9d542461634d15dafdbfb0940b4
Homepage: https://github.com/mk-fg/pretty-yaml
Description: module to produce pretty and readable YAML-serialized data (Python 2)
Description-md5: 14e7898dfa68c96b1197649401ebeafc