How to Install and Uninstall python38-pyyaml.x86_64 Package on Oracle Linux 8
Last updated: November 25,2024
1. Install "python38-pyyaml.x86_64" package
Please follow the guidelines below to install python38-pyyaml.x86_64 on Oracle Linux 8
$
sudo dnf update
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$
sudo dnf install
python38-pyyaml.x86_64
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2. Uninstall "python38-pyyaml.x86_64" package
Please follow the instructions below to uninstall python38-pyyaml.x86_64 on Oracle Linux 8:
$
sudo dnf remove
python38-pyyaml.x86_64
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$
sudo dnf autoremove
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3. Information about the python38-pyyaml.x86_64 package on Oracle Linux 8
Last metadata expiration check: 0:30:45 ago on Mon Sep 12 02:51:38 2022.
Available Packages
Name : python38-pyyaml
Version : 5.4.1
Release : 1.module+el8.5.0+20371+4f24d723
Architecture : x86_64
Size : 212 k
Source : PyYAML-5.4.1-1.module+el8.5.0+20371+4f24d723.src.rpm
Repository : ol8_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 : python38-pyyaml
Version : 5.4.1
Release : 1.module+el8.5.0+20371+4f24d723
Architecture : x86_64
Size : 212 k
Source : PyYAML-5.4.1-1.module+el8.5.0+20371+4f24d723.src.rpm
Repository : ol8_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.