How to Install and Uninstall python3-rapidfuzz.i686 Package on Fedora 39

Last updated: October 14,2024

1. Install "python3-rapidfuzz.i686" package

Please follow the instructions below to install python3-rapidfuzz.i686 on Fedora 39


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-rapidfuzz.i686
            
                    
    
    Copied

2. Uninstall "python3-rapidfuzz.i686" package

This guide let you learn how to uninstall python3-rapidfuzz.i686 on Fedora 39:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-rapidfuzz.i686
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-rapidfuzz.i686 package on Fedora 39

Last metadata expiration check: 1:47:39 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python3-rapidfuzz
Version : 2.13.7
Release : 8.fc39
Architecture : i686
Size : 1.5 M
Source : python-rapidfuzz-2.13.7-8.fc39.src.rpm
Repository : fedora
Summary : Rapid fuzzy string matching in Python and C++ using the Levenshtein Distance
URL : https://github.com/maxbachmann/RapidFuzz
License : MIT
Description : RapidFuzz is a fast string matching library for Python and C++, which is using
: the string similarity calculations from FuzzyWuzzy. However there are a couple
: of aspects that set RapidFuzz apart from FuzzyWuzzy:
: - It is MIT licensed so it can be used whichever License you might want
: to choose for your project, while you're forced to adopt the GPL license when
: using FuzzyWuzzy
: - It provides many string_metrics like hamming or jaro_winkler, which
: are not included in FuzzyWuzzy
: - It is mostly written in C++ and on top of this comes with a lot of Algorithmic
: improvements to make string matching even faster, while still providing the same
: results. For detailed benchmarks check the documentation
: - Fixes multiple bugs in the partial_ratio implementation