How to Install and Uninstall python-pymc-doc Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 24,2024

1. Install "python-pymc-doc" package

This tutorial shows how to install python-pymc-doc on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-pymc-doc
            
                    
    
    Copied

2. Uninstall "python-pymc-doc" package

Please follow the guidelines below to uninstall python-pymc-doc on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-pymc-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-pymc-doc package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-pymc-doc
Priority: extra
Section: universe/doc
Installed-Size: 1894
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: pymc
Version: 2.2+ds-1.1
Depends: libjs-jquery, libjs-underscore
Filename: pool/universe/p/pymc/python-pymc-doc_2.2+ds-1.1_all.deb
Size: 836866
MD5sum: 8f289fc4dc4f6aa7aba14f8a3142fb01
SHA1: d8f2f77825362487f6b2969c1a44fb51c4c0d3d5
SHA256: 54f98ea6314d46611857e97d95492fdf4b6683b9654878b5b3b9b0108c45e3ac
Description-en: Bayesian statistical models and fitting algorithms
PyMC is a Python module that implements Bayesian statistical models
and fitting algorithms, including Markov chain Monte Carlo. Its
flexibility and extensibility make it applicable to a large suite of
problems. Along with core sampling functionality, PyMC includes
methods for summarizing output, plotting, goodness-of-fit and
convergence diagnostics.
.
This package provides the documentation in HTML format.
Description-md5: c5ab8b39cc3b9b9ee6554d2c3874404a
Homepage: http://pymc-devs.github.com/pymc/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu