How to Install and Uninstall python39-pyyaml.x86_64 Package on Rocky Linux 8
Last updated: November 01,2024
1. Install "python39-pyyaml.x86_64" package
This guide let you learn how to install python39-pyyaml.x86_64 on Rocky Linux 8
$
sudo dnf update
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$
sudo dnf install
python39-pyyaml.x86_64
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2. Uninstall "python39-pyyaml.x86_64" package
This is a short guide on how to uninstall python39-pyyaml.x86_64 on Rocky Linux 8:
$
sudo dnf remove
python39-pyyaml.x86_64
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$
sudo dnf autoremove
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3. Information about the python39-pyyaml.x86_64 package on Rocky Linux 8
Last metadata expiration check: 0:15:55 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : python39-pyyaml
Version : 5.4.1
Release : 1.module+el8.5.0+673+10283621
Architecture : x86_64
Size : 200 k
Source : PyYAML-5.4.1-1.module+el8.5.0+673+10283621.src.rpm
Repository : appstream
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 : python39-pyyaml
Version : 5.4.1
Release : 1.module+el8.5.0+673+10283621
Architecture : x86_64
Size : 200 k
Source : PyYAML-5.4.1-1.module+el8.5.0+673+10283621.src.rpm
Repository : appstream
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.