How to Install and Uninstall python3-serpy.noarch Package on Fedora 36
Last updated: November 25,2024
1. Install "python3-serpy.noarch" package
Please follow the guidance below to install python3-serpy.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
python3-serpy.noarch
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2. Uninstall "python3-serpy.noarch" package
Please follow the step by step instructions below to uninstall python3-serpy.noarch on Fedora 36:
$
sudo dnf remove
python3-serpy.noarch
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$
sudo dnf autoremove
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3. Information about the python3-serpy.noarch package on Fedora 36
Last metadata expiration check: 4:42:51 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-serpy
Version : 0.3.1
Release : 13.fc36
Architecture : noarch
Size : 20 k
Source : python-serpy-0.3.1-13.fc36.src.rpm
Repository : fedora
Summary : Ridiculously fast object serialization
URL : https://github.com/clarkduvall/serpy
License : MIT
Description : serpy is a super simple object serialization framework built for speed.
: serpy serializes complex datatypes (Django Models, custom classes, ...)
: to simple native types (dicts, lists, strings, ...). The native types can
: easily be converted to JSON or any other format needed.
:
: The goal of serpy is to be able to do this simply, reliably, and quickly.
: Since serializers are class based, they can be combined, extended and
: customized with very little code duplication. Compared to other popular
: Python serialization frameworks like marshmallow or Django Rest Framework
: Serializers serpy is at least an order of magnitude faster.
:
: Python 3 version.
Available Packages
Name : python3-serpy
Version : 0.3.1
Release : 13.fc36
Architecture : noarch
Size : 20 k
Source : python-serpy-0.3.1-13.fc36.src.rpm
Repository : fedora
Summary : Ridiculously fast object serialization
URL : https://github.com/clarkduvall/serpy
License : MIT
Description : serpy is a super simple object serialization framework built for speed.
: serpy serializes complex datatypes (Django Models, custom classes, ...)
: to simple native types (dicts, lists, strings, ...). The native types can
: easily be converted to JSON or any other format needed.
:
: The goal of serpy is to be able to do this simply, reliably, and quickly.
: Since serializers are class based, they can be combined, extended and
: customized with very little code duplication. Compared to other popular
: Python serialization frameworks like marshmallow or Django Rest Framework
: Serializers serpy is at least an order of magnitude faster.
:
: Python 3 version.