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

Last updated: April 30,2024

1. Install "python-bottleneck-doc" package

In this section, we are going to explain the necessary steps to install python-bottleneck-doc on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-bottleneck-doc
            
                    
    
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2. Uninstall "python-bottleneck-doc" package

Please follow the steps below to uninstall python-bottleneck-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python-bottleneck-doc
            
                    
    
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            $
        

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

Package: python-bottleneck-doc
Architecture: all
Version: 1.2.1+ds1-2build4
Built-Using: sphinx (= 3.3.1-1)
Priority: optional
Section: universe/doc
Source: bottleneck
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 307
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Filename: pool/universe/b/bottleneck/python-bottleneck-doc_1.2.1+ds1-2build4_all.deb
Size: 36844
MD5sum: efc5439d6165c7dc30bafb32436280ad
SHA1: 80ad5e5ea328e86e43f71d40a0bc40472eee39e4
SHA256: 9a48b4b68aa9bbeff74bf6e8e54a07eb86a5282ea06ebc439af96d7f575a9405
SHA512: 1969b8b1d6c7feb8cb39e2734b15d7bbbd2ef2b038f70edb30baa37ce4f4f1a342c1d6deccf9a0d3b658a6bffc10304bb2021f368763a9e05285c824bf1ce8b2
Homepage: http://berkeleyanalytics.com/bottleneck
Description-en: documentation for bottleneck
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 documentation for bottleneck.
Description-md5: 5e3db4bbb822f8b269ea12c4e3dfe464