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

Last updated: May 17,2024

1. Install "python3-pweave" package

Please follow the guidance below to install python3-pweave on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-pweave
            
                    
    
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2. Uninstall "python3-pweave" package

Please follow the guidance below to uninstall python3-pweave on Ubuntu 21.10 (Impish Indri):


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

Package: python3-pweave
Architecture: all
Version: 0.25-3
Priority: optional
Section: universe/python
Source: python-pweave
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 739
Depends: python3:any, python3-ipython, python3-jupyter-client, python3-markdown, python3-nbconvert, python3-nbformat, python3-pygments
Suggests: pandoc, python3-docutils, texlive-latex-base
Filename: pool/universe/p/python-pweave/python3-pweave_0.25-3_all.deb
Size: 50932
MD5sum: 0d3e0e8c9f0c2af0332d915a5dfe54b3
SHA1: a714489f38c2d81c116c664d6d5f3aa71ce3115f
SHA256: 1a2d4d39d1108b4abe057166ca892168df31d984cb30044f13acb1d73d34f867
SHA512: e1efcc833fc208e09fc56f9e69d6548730a8506aecdc46dcb8db9e98c7cdc50744dff23ecc6f8ea49b6f64902b1f7ff8924c2c8810b3468c290b29bf9165e1c1
Homepage: http://mpastell.com/pweave/
Description-en: scientific report generator for Python
Pweave is a scientific report generator and a literate programming tool for
Python. Pweave can capture the results and plots from data analysis and works
well with NumPy, SciPy and matplotlib. It is able to run Python code from
source document and include the results and capture matplotlib plots in the
output.
Description-md5: f5cc862f8b5ee28ff989d72fe424e500