How to Install and Uninstall python3-pyyaml.x86_64 Package on Rocky Linux 9
Last updated: November 26,2024
1. Install "python3-pyyaml.x86_64" package
Please follow the guidance below to install python3-pyyaml.x86_64 on Rocky Linux 9
$
sudo dnf update
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$
sudo dnf install
python3-pyyaml.x86_64
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2. Uninstall "python3-pyyaml.x86_64" package
Here is a brief guide to show you how to uninstall python3-pyyaml.x86_64 on Rocky Linux 9:
$
sudo dnf remove
python3-pyyaml.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-pyyaml.x86_64 package on Rocky Linux 9
Last metadata expiration check: 0:49:03 ago on Fri Feb 16 06:49:52 2024.
Available Packages
Name : python3-pyyaml
Version : 5.4.1
Release : 6.el9
Architecture : x86_64
Size : 191 k
Source : PyYAML-5.4.1-6.el9.src.rpm
Repository : baseos
Summary : YAML parser and emitter for Python
URL : https://github.com/yaml/pyyaml
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 persistence.
Available Packages
Name : python3-pyyaml
Version : 5.4.1
Release : 6.el9
Architecture : x86_64
Size : 191 k
Source : PyYAML-5.4.1-6.el9.src.rpm
Repository : baseos
Summary : YAML parser and emitter for Python
URL : https://github.com/yaml/pyyaml
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 persistence.