How to Install and Uninstall ruff.x86_64 Package on Fedora 39

Last updated: October 13,2024

1. Install "ruff.x86_64" package

Please follow the steps below to install ruff.x86_64 on Fedora 39


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                ruff.x86_64
            
                    
    
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2. Uninstall "ruff.x86_64" package

Please follow the step by step instructions below to uninstall ruff.x86_64 on Fedora 39:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                ruff.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the ruff.x86_64 package on Fedora 39

Last metadata expiration check: 1:20:16 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : ruff
Version : 0.2.2
Release : 1.fc39
Architecture : x86_64
Size : 5.3 M
Source : ruff-0.2.2-1.fc39.src.rpm
Repository : updates
Summary : Extremely fast Python linter and code formatter
URL : https://github.com/astral-sh/ruff
License : MIT AND 0BSD AND Apache-2.0 AND BSD-2-Clause-Views AND CC0-1.0 AND ISC AND MPL-2.0 AND PSD-2.0 AND Unicode-DFS-2016 AND WTFPL AND (Apache-2.0 OR BSD-2-Clause) AND (Apache-2.0 OR BSL-1.0) AND (Apache-2.0 OR MIT) AND (Apache-2.0 WITH LLVM-exception OR Apache-2.0 OR MIT) AND (BSD-2-Clause OR Apache-2.0 OR MIT) AND (MIT OR Apache-2.0 OR Zlib) AND (MIT OR BSD-3-Clause) AND (Unlicense OR MIT)
Description : An extremely fast Python linter and code formatter, written in Rust.
:
: Ruff aims to be orders of magnitude faster than alternative tools while
: integrating more functionality behind a single, common interface.
:
: Ruff can be used to replace Flake8 (plus dozens of plugins), Black,
: isort, pydocstyle, pyupgrade, autoflake, and more, all while executing
: tens or hundreds of times faster than any individual tool.