How to Install and Uninstall python312-quicktions Package on openSuSE Tumbleweed

Last updated: December 27,2024

1. Install "python312-quicktions" package

This guide let you learn how to install python312-quicktions on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-quicktions
            
                    
    
    Copied

2. Uninstall "python312-quicktions" package

Please follow the step by step instructions below to uninstall python312-quicktions on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-quicktions
            
                    
    
    Copied

3. Information about the python312-quicktions package on openSuSE Tumbleweed

Information for package python312-quicktions:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-quicktions
Version : 1.16-1.4
Arch : x86_64
Vendor : openSUSE
Installed Size : 299.7 KiB
Installed : No
Status : not installed
Source package : python-quicktions-1.16-1.4.src
Upstream URL : https://github.com/scoder/quicktions
Summary : Fast fractions data type for rational numbers
Description :
Python's Fraction data type is an excellent way to do exact money
calculations and largely beats Decimal in terms of simplicity,
accuracy and safety. Clearly not in terms of speed, though, given
the cdecimal accelerator in Py3.3+.
Quicktions is an adaptation of the original fractions module
(as included in CPython 3.5) that is compiled and optimised with
Cython into a fast, native extension module.
Compared to the standard library fractions module in Py2.7 and
Py3.4, quicktions is currently about 10x faster, and still about
6x faster than the current version in Python 3.5. It's also about
15x faster than the (Python implemented) decimal module in Py2.7.