How to Install and Uninstall python311-python-cjson Package on openSuSE Tumbleweed
Last updated: August 25,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python311-python-cjson" package
Learn how to install python311-python-cjson on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-python-cjson
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2. Uninstall "python311-python-cjson" package
Please follow the step by step instructions below to uninstall python311-python-cjson on openSuSE Tumbleweed:
$
sudo zypper remove
python311-python-cjson
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3. Information about the python311-python-cjson package on openSuSE Tumbleweed
Information for package python311-python-cjson:
-----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-python-cjson
Version : 1.2.2-2.15
Arch : x86_64
Vendor : openSUSE
Installed Size : 27.8 KiB
Installed : No
Status : not installed
Source package : python-python-cjson-1.2.2-2.15.src
Upstream URL : https://github.com/AGProjects/python-cjson
Summary : C-accelerated JSON encoder/decoder for Python
Description :
JSON (JavaScript Object Notation) is a text-based data exchange
format.
The module is written in C and it is up to 250 times faster when compared to
the other Python JSON implementations which are written directly in Python.
This speed gain varies with the complexity of the data and the operation and is
the the range of 10-200 times for encoding operations and in the range of
100-250 times for decoding operations.
-----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-python-cjson
Version : 1.2.2-2.15
Arch : x86_64
Vendor : openSUSE
Installed Size : 27.8 KiB
Installed : No
Status : not installed
Source package : python-python-cjson-1.2.2-2.15.src
Upstream URL : https://github.com/AGProjects/python-cjson
Summary : C-accelerated JSON encoder/decoder for Python
Description :
JSON (JavaScript Object Notation) is a text-based data exchange
format.
The module is written in C and it is up to 250 times faster when compared to
the other Python JSON implementations which are written directly in Python.
This speed gain varies with the complexity of the data and the operation and is
the the range of 10-200 times for encoding operations and in the range of
100-250 times for decoding operations.