How to Install and Uninstall python310-sortedcontainers Package on openSuSE Tumbleweed

Last updated: June 30,2024

1. Install "python310-sortedcontainers" package

This guide let you learn how to install python310-sortedcontainers on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python310-sortedcontainers
            
                    
    
    Copied

2. Uninstall "python310-sortedcontainers" package

Please follow the step by step instructions below to uninstall python310-sortedcontainers on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python310-sortedcontainers
            
                    
    
    Copied

3. Information about the python310-sortedcontainers package on openSuSE Tumbleweed

Information for package python310-sortedcontainers:
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Repository : openSUSE-Tumbleweed-Oss
Name : python310-sortedcontainers
Version : 2.4.0-2.6
Arch : noarch
Vendor : openSUSE
Installed Size : 339.7 KiB
Installed : No
Status : not installed
Source package : python-sortedcontainers-2.4.0-2.6.src
Upstream URL : https://github.com/grantjenks/python-sortedcontainers
Summary : Sorted container data types
Description :
SortedContainers is an Apache2 licensed containers library, written in
pure-Python, and fast as C-extensions.
Python's standard library is great until you need a sorted container type. Many
will attest that you can get really far without one, but the moment you **really
need** a sorted list, dict, or set, you're faced with a dozen different
implementations, most using C-extensions without great documentation and
benchmarking.
SortedContainers takes all of the work out of Python sorted types - making your
deployment and use of Python easy. There's no need to install a C compiler or
pre-build and distribute custom extensions. Performance is a feature and testing
has 100% coverage with unit tests and hours of stress.