How to Install and Uninstall python3-fast-histogram Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 24,2024

1. Install "python3-fast-histogram" package

Please follow the instructions below to install python3-fast-histogram on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-fast-histogram
            
                    
    
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2. Uninstall "python3-fast-histogram" package

Please follow the step by step instructions below to uninstall python3-fast-histogram on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-fast-histogram
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-fast-histogram package on Ubuntu 21.10 (Impish Indri)

Package: python3-fast-histogram
Architecture: amd64
Version: 0.9-2
Priority: optional
Section: universe/python
Source: fast-histogram
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 62
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-numpy, python3:any, libc6 (>= 2.4)
Filename: pool/universe/f/fast-histogram/python3-fast-histogram_0.9-2_amd64.deb
Size: 14400
MD5sum: 3e4992fcd90f7bd77eabffbfb1fd073d
SHA1: 8f77f746859986cca6e09f2302487c46037f36eb
SHA256: db7953653ceb5c81c933bbc1e99bb14c95d13068cb497eaa04bf0cbcb9cc44a5
SHA512: 8152932693ef07a2910fffad5fd5d9e09f79041f0bd12b494d94e72db50d426b28b76846fd0e8551e634ddcfc2a51d52e6ffee774b14cd6797ca8dad662ea6fc
Homepage: https://github.com/astrofrog/fast-histogram
Description-en: Fast 1D and 2D histogram functions in Python
fast-histogram aims to provide simple and fast histogram functions for
regular bins that don't compromise on performance. It doesn't do
anything complicated - it just implements a simple histogram algorithm in C and
keeps it simple. The aim is to have functions that are fast but also robust and
reliable. The result is a 1D histogram function here that is 7-15x faster than
numpy.histogram, and a 2D histogram function that is 20-25x faster than
numpy.histogram2d.
Description-md5: 9ef0a65847195355b8c79acfc2dadcaa