How to Install and Uninstall python3-streamz Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: February 24,2025

1. Install "python3-streamz" package

Please follow the guidelines below to install python3-streamz on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the guidance below to uninstall python3-streamz on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                python3-streamz
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-streamz package on Ubuntu 20.10 (Groovy Gorilla)

Package: python3-streamz
Architecture: all
Version: 0.5.5-1
Priority: optional
Section: universe/python
Source: python-streamz
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 335
Depends: python3-six, python3-toolz, python3-tornado, python3-zict, python3:any, python3-dask, python3-distributed, python3-numpy, python3-pandas
Filename: pool/universe/p/python-streamz/python3-streamz_0.5.5-1_all.deb
Size: 68228
MD5sum: bb2e413447404d6413b3de3f18ad2b5c
SHA1: 8453003ee04daedd3427dda42504eda29dfe83d3
SHA256: 58642f71ce6ab3bce34925955a79cb2c39d09d57650db162bc4c466dcce7e793
SHA512: c45affb6d896618343bdd6a5c123a69e7acedfa6802069a3f34df60a94578714cc96993a8c7aca6b1dd290f529afe2b46aca28519fa931a8848601610080a2fe
Homepage: https://github.com/python-streamz/streamz/
Description-en: build pipelines to manage continuous streams of data
It is simple to use in simple cases, but also supports complex pipelines that
involve branching, joining, flow control, feedback, back pressure, and so on.
Optionally, Streamz can also work with both Pandas and cuDF dataframes,
to provide sensible streaming operations on continuous tabular data.
Description-md5: 444347d2336283e0a2eb6328cd487481