How to Install and Uninstall python3-jenkins-job-builder.noarch Package on Fedora 34
Last updated: January 10,2025
1. Install "python3-jenkins-job-builder.noarch" package
This tutorial shows how to install python3-jenkins-job-builder.noarch on Fedora 34
$
sudo dnf update
Copied
$
sudo dnf install
python3-jenkins-job-builder.noarch
Copied
2. Uninstall "python3-jenkins-job-builder.noarch" package
This tutorial shows how to uninstall python3-jenkins-job-builder.noarch on Fedora 34:
$
sudo dnf remove
python3-jenkins-job-builder.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-jenkins-job-builder.noarch package on Fedora 34
Last metadata expiration check: 0:12:12 ago on Tue Sep 6 14:10:38 2022.
Available Packages
Name : python3-jenkins-job-builder
Epoch : 1
Version : 3.8.0
Release : 1.fc34
Architecture : noarch
Size : 403 k
Source : python-jenkins-job-builder-3.8.0-1.fc34.src.rpm
Repository : fedora
Summary : Manage Jenkins jobs with YAML
URL : https://docs.openstack.org/infra/jenkins-job-builder/
License : ASL 2.0
Description : Jenkins Job Builder takes simple descriptions of Jenkins jobs in YAML format
: and uses them to configure Jenkins. You can keep your job descriptions in
: human readable text format in a version control system to make changes and
: auditing easier. It also has a flexible template system, so creating many
: similarly configured jobs is easy.
Available Packages
Name : python3-jenkins-job-builder
Epoch : 1
Version : 3.8.0
Release : 1.fc34
Architecture : noarch
Size : 403 k
Source : python-jenkins-job-builder-3.8.0-1.fc34.src.rpm
Repository : fedora
Summary : Manage Jenkins jobs with YAML
URL : https://docs.openstack.org/infra/jenkins-job-builder/
License : ASL 2.0
Description : Jenkins Job Builder takes simple descriptions of Jenkins jobs in YAML format
: and uses them to configure Jenkins. You can keep your job descriptions in
: human readable text format in a version control system to make changes and
: auditing easier. It also has a flexible template system, so creating many
: similarly configured jobs is easy.