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

Last updated: November 26,2024

1. Install "python3-streamz" package

Please follow the guidelines below to install python3-streamz on Ubuntu 21.10 (Impish Indri)


    
        
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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

In this section, we are going to explain the necessary steps to uninstall python3-streamz on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: python3-streamz
Architecture: all
Version: 0.6.2-1
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: 382
Depends: python3-pkg-resources, 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_0.6.2-1_all.deb
Size: 75628
MD5sum: bd9b04f8e7ccd819d1b60b5af529553e
SHA1: a8d2c14adb01986f7bcce2848196c63603bbdb05
SHA256: daa953254394e3513afb05e8c365c1c3e0b786a763113dff0d12ccdf445d95ed
SHA512: 849ed744ad6f8e4ed416649ca229229f09169e8bc21f7679bf2ead45c596a0b09b5c0955cabd6f9df05c23791757555385af823a35cb660a44d20d2631526125
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