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

Last updated: December 23,2024

1. Install "python3-brian-lib" package

This tutorial shows how to install python3-brian-lib on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-brian-lib
            
                    
    
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2. Uninstall "python3-brian-lib" package

Please follow the guidelines below to uninstall python3-brian-lib on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-brian-lib
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-brian-lib package on Ubuntu 21.10 (Impish Indri)

Package: python3-brian-lib
Architecture: amd64
Version: 2.4.2-6
Priority: optional
Section: universe/python
Source: brian
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 251
Depends: python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.10), python3 (>= 3.9~), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/b/brian/python3-brian-lib_2.4.2-6_amd64.deb
Size: 86872
MD5sum: fd447d56413a4a45b24567ae593664d2
SHA1: b2236b4158589c0f0f907380ae18c1c3d2b3bae5
SHA256: 09d2092d7d0017163e802b102163320ca1be2aee40f9230294c80489b4802071
SHA512: 69a01d53291b45226b78fd5ccb04b1664af7c438d5b8e7f3aa085462311e11f820c6ca7d11c0232548e472fbb5e86b4fdbfddbc57684ad3b577ac229e435ab36
Homepage: http://www.briansimulator.org/
Description-en: simulator for spiking neural networks -- extensions
Brian is a clock-driven simulator for spiking neural networks. It is
designed with an emphasis on flexibility and extensibility, for rapid
development and refinement of neural models. Neuron models are
specified by sets of user-specified differential equations, threshold
conditions and reset conditions (given as strings). The focus is
primarily on networks of single compartment neuron models (e.g. leaky
integrate-and-fire or Hodgkin-Huxley type neurons).
.
This package provides Python3 binary extensions.
Description-md5: dc083088a2f3323bd26f94bf3a81af9c