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

Last updated: May 16,2024

1. Install "python-nitime-doc" package

Please follow the guidelines below to install python-nitime-doc on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall python-nitime-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python-nitime-doc
            
                    
    
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            $
        

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

Package: python-nitime-doc
Architecture: all
Version: 0.9-1
Priority: extra
Section: universe/doc
Source: nitime
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4103
Depends: libjs-jquery, libjs-underscore
Suggests: python3-nitime
Filename: pool/universe/n/nitime/python-nitime-doc_0.9-1_all.deb
Size: 2395476
MD5sum: 5c26ffab94ed2061795c7fa0ab3fe0a5
SHA1: 9b8b1f41f62da27592727d89915bc97a78943234
SHA256: ece98fb95e1c7584b28b7c6031ecdd72aadc227cedd5629a6c63dcec8314ff39
SHA512: 5848b89a6faa1220c8f6a586791c170ab796470e0b80ed3f35ae52da6b8b5526cd5d3816d4385162dd46ff554b2f590a5b1212be42d479244c562fb26d270370
Homepage: https://nipy.org/nitime
Description-en: timeseries analysis for neuroscience data (nitime) -- documentation
Nitime is a Python module for time-series analysis of data from
neuroscience experiments.
.
This package provides the documentation in HTML format.
Description-md5: cd3ddd901500245fee648bc664b3b27e