How to Install and Uninstall python39-python-cjson Package on openSuSE Tumbleweed
Last updated: November 27,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python39-python-cjson" package
This guide let you learn how to install python39-python-cjson on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-python-cjson
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2. Uninstall "python39-python-cjson" package
Here is a brief guide to show you how to uninstall python39-python-cjson on openSuSE Tumbleweed:
$
sudo zypper remove
python39-python-cjson
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3. Information about the python39-python-cjson package on openSuSE Tumbleweed
Information for package python39-python-cjson:
----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-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 : python39-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.