How to Install and Uninstall python3-pyyaml.x86_64 Package on Fedora 36
Last updated: March 03,2025
1. Install "python3-pyyaml.x86_64" package
This is a short guide on how to install python3-pyyaml.x86_64 on Fedora 36
$
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 step by step instructions below to uninstall python3-pyyaml.x86_64 on Fedora 36:
$
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 Fedora 36
Last metadata expiration check: 5:26:33 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-pyyaml
Version : 6.0
Release : 3.fc36
Architecture : x86_64
Size : 192 k
Source : PyYAML-6.0-3.fc36.src.rpm
Repository : fedora
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 : 6.0
Release : 3.fc36
Architecture : x86_64
Size : 192 k
Source : PyYAML-6.0-3.fc36.src.rpm
Repository : fedora
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.