How to Install and Uninstall python3-pyyaml.x86_64 Package on Fedora 39
Last updated: November 14,2024
1. Install "python3-pyyaml.x86_64" package
Please follow the steps below to install python3-pyyaml.x86_64 on Fedora 39
$
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 39:
$
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 39
Last metadata expiration check: 1:22:03 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python3-pyyaml
Version : 6.0.1
Release : 11.fc39
Architecture : x86_64
Size : 230 k
Source : PyYAML-6.0.1-11.fc39.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 : 6.0.1
Release : 11.fc39
Architecture : x86_64
Size : 230 k
Source : PyYAML-6.0.1-11.fc39.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.