How to Install and Uninstall python3-bumps Package on Kali Linux

Last updated: May 20,2024

1. Install "python3-bumps" package

This guide let you learn how to install python3-bumps on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-bumps
            
                    
    
    Copied

2. Uninstall "python3-bumps" package

This is a short guide on how to uninstall python3-bumps on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-bumps
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-bumps package on Kali Linux

Package: python3-bumps
Source: python-bumps
Version: 0.9.1-2
Installed-Size: 1690
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3-matplotlib (>= 1.0), python3-numpy (>= 1.3.0), python3-scipy (>= 0.7.0), python3-six, python3:any
Recommends: bumps-private-libs, python3-wxgtk4.0
Suggests: python-bumps-doc, python3-sklearn
Size: 427244
SHA256: 3049b21b0938201789739f5a1b10fe1a3beeab5f09aed664354e41068e30377f
SHA1: ea86fd290ddaaa63b94604083323e7f037ba58a4
MD5sum: 27ebe5af02713d86ef42163d5bb54919
Description: data fitting and Bayesian uncertainty modeling for inverse problems (Python 3)
Bumps is a set of routines for curve fitting and uncertainty analysis
from a Bayesian perspective. In addition to traditional optimizers
which search for the best minimum they can find in the search space,
bumps provides uncertainty analysis which explores all viable minima
and finds confidence intervals on the parameters based on uncertainty
in the measured values. Bumps has been used for systems of up to 100
parameters with tight constraints on the parameters. Full uncertainty
analysis requires hundreds of thousands of function evaluations,
which is only feasible for cheap functions, systems with many
processors, or lots of patience.
.
Bumps includes several traditional local optimizers such as
Nelder-Mead simplex, BFGS and differential evolution. Bumps
uncertainty analysis uses Markov chain Monte Carlo to explore the
parameter space. Although it was created for curve fitting problems,
Bumps can explore any probability density function, such as those
defined by PyMC. In particular, the bumps uncertainty analysis works
well with correlated parameters.
.
Bumps can be used as a library within your own applications, or as a
framework for fitting, complete with a graphical user interface to
manage your models.
.
This package installs the library for Python 3.
Description-md5:
Homepage: https://github.com/bumps/bumps
Section: python
Priority: optional
Filename: pool/main/p/python-bumps/python3-bumps_0.9.1-2_all.deb