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

Last updated: November 26,2024

1. Install "python3-svipc" package

This is a short guide on how to install python3-svipc on Ubuntu 20.10 (Groovy Gorilla)


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

Here is a brief guide to show you how to uninstall python3-svipc on Ubuntu 20.10 (Groovy Gorilla):


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

Package: python3-svipc
Architecture: amd64
Version: 0.16-5build1
Priority: extra
Section: universe/python
Source: yp-svipc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 71
Depends: python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.9), python3 (>= 3.8~), libc6 (>= 2.14)
Suggests: yorick-svipc
Filename: pool/universe/y/yp-svipc/python3-svipc_0.16-5build1_amd64.deb
Size: 19612
MD5sum: 026363533933a021f58704696c085af8
SHA1: 95425e1d868b2d9c906110d2ff044948dc7e0249
SHA256: 83d5c96b587096664258b26c2f4c878ad56d7850241622e78cbbdf7d47c2045e
SHA512: ea73cfed244d6a6675129dd5dfc82f9eef2ca8e5d84e13a5c7f76e359f8cce14f373b90a3bdcbc3ad0af5050b88de61315265642b21e767a7e2cb932ace6c5e9
Homepage: https://github.com/mdcb/yp-svipc
Description-en: interprocess communication (shared memory...) for Python 3
This package allows one to access the System V Interprocess
communication mechanisms from within Python 3:
+ message queues;
+ semaphore sets;
+ shared memory segments.
.
This plug-in serves primarily two use cases:
+ parallel (multiprocess) computing;
+ mixed applications (e.g. python/yorick).
.
A sibling package is available for Yorick: yorick-svipc
Description-md5: 0203c4aad636111fb989cb70a27ce8ef