How to Install and Uninstall python3-pfzy Package on Kali Linux

Last updated: June 24,2024

1. Install "python3-pfzy" package

Please follow the steps below to install python3-pfzy on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-pfzy
            
                    
    
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2. Uninstall "python3-pfzy" package

This tutorial shows how to uninstall python3-pfzy on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-pfzy
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-pfzy package on Kali Linux

Package: python3-pfzy
Source: pfzy
Version: 0.3.4-2
Installed-Size: 43
Maintainer: Debian Python Team
Architecture: all
Depends: python3:any
Size: 9020
SHA256: e5ab8b05f960e1d39c36da07ec09f90f2ff22ac9b000910bb2d10e7e302d9974
SHA1: 7779739f5a109f5dc8620976830af9559273a16b
MD5sum: a7afb8d615e577b0cbf553bc54e417e0
Description: Python port of the fzy fuzzy string matching algorithm
pfzy is a Python port of the fzy fuzzy string matching algorithm.
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Key Features:
- Fuzzy String Matching: pfzy enables fuzzy string matching, allowing you to
find approximate matches for a given query within a set of strings.
- Asynchronous Fuzzy Matching: pfzy includes an asynchronous fuzzy match
function, making it suitable for high-performance applications and
scenarios.
- Fzy Scorer: The package provides a fzy scorer for calculating fuzzy string
match scores, aiding in ranking matches based on their similarity.
- Substring Scorer: An exact substring match scorer is also available,
allowing for precise substring matching.
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While the popular fuzzywuzzy Python package performs fuzzy string matching, it
lacks the ability to calculate and provide matching indices. pfzy is built on
the fzy algorithm, which not only calculates matching scores but also offers
matching indices, making it ideal for fuzzy finder applications.
Description-md5:
Homepage: https://github.com/kazhala/pfzy
Section: python
Priority: optional
Filename: pool/main/p/pfzy/python3-pfzy_0.3.4-2_all.deb