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

Last updated: May 07,2024

1. Install "python3-cytoolz" package

Here is a brief guide to show you how to install python3-cytoolz on Kali Linux


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

Please follow the guidelines below to uninstall python3-cytoolz on Kali Linux:


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

Package: python3-cytoolz
Source: python-cytoolz
Version: 0.12.2-1
Installed-Size: 2139
Maintainer: Debian Python Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-toolz, python3:any, libc6 (>= 2.14)
Size: 451568
SHA256: 63903c7a2f8e3cac0d19385a9d68c543b94fc0c4678f178c490200811ff5c38a
SHA1: e7f2ef28858afb94026763c5ea8880c8f307829b
MD5sum: 719d5e79f507e41faaf1745e93dd0c77
Description: Toolz in Cython: High performance functional utilities
Cython implementation of the toolz package, which provides high performance
utility functions for iterables, functions, and dictionaries.
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toolz is a pure Python package that borrows heavily from contemporary
functional languages. It is designed to interoperate seamlessly with other
libraries including itertools, functools, and third party libraries.
High performance functional data analysis is possible with builtin types
like list and dict, and user-defined data structures; and low memory
usage is achieved by using the iterator protocol and returning iterators
whenever possible.
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cytoolz implements the same API as toolz. The main differences are
that cytoolz is faster (typically 2-5x faster with a few spectacular
exceptions) and cytoolz offers a C API that is accessible to other
projects developed in Cython. Since toolz is able to process very
large (potentially infinite) data sets, the performance increase
gained by using cytoolz can be significant.
Description-md5:
Homepage: https://github.com/pytoolz/cytoolz
Section: python
Priority: optional
Filename: pool/main/p/python-cytoolz/python3-cytoolz_0.12.2-1_amd64.deb