How to Install and Uninstall python3-pyyaml.x86_64 Package on AlmaLinux 8
Last updated: November 01,2024
1. Install "python3-pyyaml.x86_64" package
Learn how to install python3-pyyaml.x86_64 on AlmaLinux 8
$
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
Please follow the steps below to uninstall python3-pyyaml.x86_64 on AlmaLinux 8:
$
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 AlmaLinux 8
Last metadata expiration check: 0:22:38 ago on Mon Sep 5 03:22:42 2022.
Available Packages
Name : python3-pyyaml
Version : 3.12
Release : 12.el8
Architecture : x86_64
Size : 193 k
Source : PyYAML-3.12-12.el8.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 persistance.
Available Packages
Name : python3-pyyaml
Version : 3.12
Release : 12.el8
Architecture : x86_64
Size : 193 k
Source : PyYAML-3.12-12.el8.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 persistance.