How to Install and Uninstall python-pyswarms-doc Package on Kali Linux

Last updated: May 17,2024

1. Install "python-pyswarms-doc" package

In this section, we are going to explain the necessary steps to install python-pyswarms-doc on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-pyswarms-doc
            
                    
    
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2. Uninstall "python-pyswarms-doc" package

Learn how to uninstall python-pyswarms-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python-pyswarms-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-pyswarms-doc package on Kali Linux

Package: python-pyswarms-doc
Source: pyswarms
Version: 1.3.0-6
Installed-Size: 18437
Maintainer: Debian Science Maintainers
Architecture: all
Depends: libjs-jquery (>= 3.6.0), libjs-sphinxdoc (>= 7.2.2), sphinx-rtd-theme-common (>= 2.0.0+dfsg), libjs-requirejs, libjs-mathjax, fonts-mathjax
Suggests: python3-pyswarms, ipython3, python3-matplotlib, python3-seaborn
Size: 5765356
SHA256: 60176a25c718e27f46f35a6b96d9cc83a2615a10fda754578d210f094198a1a0
SHA1: 1c2d098b86677fd6a3615eeea1087b66cfe2185d
MD5sum: 71542682208baf889fa4ce60886e6cda
Description: documentation and examples for PySwarms
PySwarms is an extensible research toolkit for particle swarm optimization
(PSO) in Python.
.
It is intended for swarm intelligence researchers, practitioners, and students
who prefer a high-level declarative interface for implementing PSO in their
problems. PySwarms enables basic optimization with PSO and interaction with
swarm optimizations.
.
Features:
* High-level module for Particle Swarm Optimization
* Built-in objective functions to test optimization algorithms
* Plotting environment for cost histories and particle movement
* Hyperparameter search tools to optimize swarm behaviour
.
This package contains the documentation and examples for PySwarms.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/ljvmiranda921/pyswarms/
Section: doc
Priority: optional
Filename: pool/main/p/pyswarms/python-pyswarms-doc_1.3.0-6_all.deb