How to Install and Uninstall python3-rapidfuzz-devel.x86_64 Package on Fedora 39

Last updated: November 29,2024

1. Install "python3-rapidfuzz-devel.x86_64" package

This is a short guide on how to install python3-rapidfuzz-devel.x86_64 on Fedora 39


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                python3-rapidfuzz-devel.x86_64
            
                    
    
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2. Uninstall "python3-rapidfuzz-devel.x86_64" package

In this section, we are going to explain the necessary steps to uninstall python3-rapidfuzz-devel.x86_64 on Fedora 39:


    
        
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                sudo dnf remove
            
                        
                python3-rapidfuzz-devel.x86_64
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the python3-rapidfuzz-devel.x86_64 package on Fedora 39

Last metadata expiration check: 4:00:01 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : python3-rapidfuzz-devel
Version : 2.13.7
Release : 8.fc39
Architecture : x86_64
Size : 11 k
Source : python-rapidfuzz-2.13.7-8.fc39.src.rpm
Repository : fedora
Summary : Development files for the RapidFuzz library
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