How to Install and Uninstall python36-serpy Package on openSuSE Tumbleweed
Last updated: November 12,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-serpy" package
Please follow the instructions below to install python36-serpy on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python36-serpy
Copied
2. Uninstall "python36-serpy" package
Please follow the steps below to uninstall python36-serpy on openSuSE Tumbleweed:
$
sudo zypper remove
python36-serpy
Copied
3. Information about the python36-serpy package on openSuSE Tumbleweed
Information for package python36-serpy:
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-serpy
Version : 0.3.1-4.8
Arch : noarch
Vendor : openSUSE
Installed Size : 42,9 KiB
Installed : No
Status : not installed
Source package : python-serpy-0.3.1-4.8.src
Summary : Object serialization for Python
Description :
Serpy is an object serialization framework. 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.
Since serializers are class based, they can be combined,
extended and customized with little code duplication. Compared
to other Python serialization frameworks like marshmallow or
Django Rest Framework Serializers, serpy is an order of
magnitude faster.
---------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-serpy
Version : 0.3.1-4.8
Arch : noarch
Vendor : openSUSE
Installed Size : 42,9 KiB
Installed : No
Status : not installed
Source package : python-serpy-0.3.1-4.8.src
Summary : Object serialization for Python
Description :
Serpy is an object serialization framework. 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.
Since serializers are class based, they can be combined,
extended and customized with little code duplication. Compared
to other Python serialization frameworks like marshmallow or
Django Rest Framework Serializers, serpy is an order of
magnitude faster.