How to Install and Uninstall jupyter Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: February 17,2025

1. Install "jupyter" package

Please follow the guidelines below to install jupyter on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                jupyter
            
                    
    
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2. Uninstall "jupyter" package

This is a short guide on how to uninstall jupyter on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                jupyter
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the jupyter package on Ubuntu 20.10 (Groovy Gorilla)

Package: jupyter
Architecture: all
Version: 4.6.3-3
Multi-Arch: foreign
Priority: optional
Section: universe/metapackages
Source: jupyter-core
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 17
Depends: jupyter-core, jupyter-client, jupyter-console, jupyter-nbformat
Recommends: jupyter-nbconvert, jupyter-notebook, python3-ipykernel
Suggests: jupyter-qtconsole
Filename: pool/universe/j/jupyter-core/jupyter_4.6.3-3_all.deb
Size: 3368
MD5sum: e9244579650d4a7e987b480b35aab21f
SHA1: 5f66bafc00bae65879aa46faf050fc85fc250b6d
SHA256: aef15fe756faa0e405f78605a30e9751afd46f15386c00087911b2fffaf222f0
SHA512: 2d16bb0b096520d3db1c583a4e159591a385f4d7af6a190dd6e411cd2fa58d70bd80267641de5d7d3bd7c603e1752a5a4421e06f4dd9c001a5bda89ad3c2afae
Homepage: https://github.com/jupyter/jupyter_core
Description-en: Interactive computing environment (metapackage)
Project Jupyter provides tools for interactive computing, useful for data
science, scientific computing and learning. Computational languages for
multiple languages are available; the name Jupyter is derived from
Julia, Python and R.
.
This package depends on a standard set of Jupyter packages;
- the core and client libraries
- the console interface
- the web-based notebook
- tools for working with and converting notebook (ipynb) files
- the python3 computational kernel
.
The various jupyter components can be called using the /usr/bin/jupyter
entrypoint, eg "jupyter notebook".
Description-md5: fea5026998e57d68a9c9adba550642c3