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

Last updated: December 27,2024

1. Install "python3-bottleneck" package

Please follow the guidelines below to install python3-bottleneck on Ubuntu 21.10 (Impish Indri)


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

This tutorial shows how to uninstall python3-bottleneck on Ubuntu 21.10 (Impish Indri):


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

Package: python3-bottleneck
Architecture: amd64
Version: 1.2.1+ds1-2build4
Priority: optional
Section: universe/python
Source: bottleneck
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 405
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3:any, libc6 (>= 2.4)
Suggests: python-bottleneck-doc
Enhances: python3-pandas
Filename: pool/universe/b/bottleneck/python3-bottleneck_1.2.1+ds1-2build4_amd64.deb
Size: 72336
MD5sum: f2598731e54d57b3696fa9cd30c4768a
SHA1: da4d578dcd38b6b0ec9c8116e4f1fb7f4c0d0844
SHA256: 235d6b5f9582b40f967db907629b448180d7916fb1611e03c0991834b9bbb46e
SHA512: f7687c9937bc45d605e84dcce0d3cdcf8502263d9a0f7f7b604139ee33ef7d3f022309f7004e167a2f08e4242698ba0e238bc57db993bd6bf1340878b6cc3fa0
Homepage: http://berkeleyanalytics.com/bottleneck
Description-en: Fast NumPy array functions written in C (Python 3)
Bottleneck is a collection of fast NumPy array functions written in C.
.
Only arrays with data type (dtype) int32, int64, float32, and float64 are
accelerated. All other dtypes result in calls to slower, unaccelerated
functions.
.
This package provides the modules for Python 3.
Description-md5: a22fbb1fd3f730d288c07b0688a65ae4