How to Install and Uninstall python3-numpy-groupies Package on Kali Linux

Last updated: November 07,2024

1. Install "python3-numpy-groupies" package

This guide covers the steps necessary to install python3-numpy-groupies on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-numpy-groupies
            
                    
    
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2. Uninstall "python3-numpy-groupies" package

In this section, we are going to explain the necessary steps to uninstall python3-numpy-groupies on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-numpy-groupies
            
                    
    
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            $
        

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

Package: python3-numpy-groupies
Source: python-numpy-groupies
Version: 0.10.2-1
Installed-Size: 150
Maintainer: Debian Python Team
Architecture: all
Depends: python3-numpy, python3:any
Size: 31368
SHA256: 9f5bc32c53337e015d3027fc946fe0f403fb96c7f8424b096e16c15789c4ca22
SHA1: 4f870df29c539f5317d8e0b465699f87f4ab15b7
MD5sum: 12f4c0eb2431cf893f0c1551ff4b28df
Description: performs operations on/with subsets of n-dim arrays
This package consists of a couple of optimised tools for doing things
that can roughly be considered "group-indexing operations". The most
prominent tool is `aggregate`.
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`aggregate` takes an array of values, and an array giving the group
number for each of those values. It then returns the sum (or mean, or
std, or any, ...etc.) of the values in each group. You have probably
come across this idea before, using `matlab` accumarray, `pandas`
groupby, or generally MapReduce algorithms and histograms.
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There are different implementations of `aggregate` provided, based on
plain `numpy`, `numba` and `weave`. Performance is a main concern, and
so far this implementation comfortably beats similar implementations in
other packages (check the benchmarks).
Description-md5:
Homepage: https://github.com/ml31415/numpy-groupies
Section: python
Priority: optional
Filename: pool/main/p/python-numpy-groupies/python3-numpy-groupies_0.10.2-1_all.deb