How to Install and Uninstall python2-pyyaml.x86_64 Package on CentOS 8 / RHEL 8
Last updated: March 01,2025
1. Install "python2-pyyaml.x86_64" package
Please follow the guidance below to install python2-pyyaml.x86_64 on CentOS 8 / RHEL 8
$
sudo dnf update
Copied
$
sudo dnf install
python2-pyyaml.x86_64
Copied
2. Uninstall "python2-pyyaml.x86_64" package
Here is a brief guide to show you how to uninstall python2-pyyaml.x86_64 on CentOS 8 / RHEL 8:
$
sudo dnf remove
python2-pyyaml.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the python2-pyyaml.x86_64 package on CentOS 8 / RHEL 8
Last metadata expiration check: 1 day, 7:42:44 ago on Sun May 9 13:03:46 2021.
Available Packages
Name : python2-pyyaml
Version : 3.12
Release : 16.module_el8.3.0+478+7570e00c
Architecture : x86_64
Size : 191 k
Source : PyYAML-3.12-16.module_el8.3.0+478+7570e00c.src.rpm
Repository : appstream
Summary : YAML parser and emitter for Python
URL : http://pyyaml.org/
License : MIT
Description : YAML is a data serialization format designed for human readability and
: interaction with scripting languages. PyYAML is a YAML parser and
: emitter for Python.
:
: PyYAML features a complete YAML 1.1 parser, Unicode support, pickle
: support, capable extension API, and sensible error messages. PyYAML
: supports standard YAML tags and provides Python-specific tags that
: allow to represent an arbitrary Python object.
:
: PyYAML is applicable for a broad range of tasks from complex
: configuration files to object serialization and persistance.
Available Packages
Name : python2-pyyaml
Version : 3.12
Release : 16.module_el8.3.0+478+7570e00c
Architecture : x86_64
Size : 191 k
Source : PyYAML-3.12-16.module_el8.3.0+478+7570e00c.src.rpm
Repository : appstream
Summary : YAML parser and emitter for Python
URL : http://pyyaml.org/
License : MIT
Description : YAML is a data serialization format designed for human readability and
: interaction with scripting languages. PyYAML is a YAML parser and
: emitter for Python.
:
: PyYAML features a complete YAML 1.1 parser, Unicode support, pickle
: support, capable extension API, and sensible error messages. PyYAML
: supports standard YAML tags and provides Python-specific tags that
: allow to represent an arbitrary Python object.
:
: PyYAML is applicable for a broad range of tasks from complex
: configuration files to object serialization and persistance.