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

Last updated: May 19,2024

1. Install "python-uncertainties" package

Please follow the steps below to install python-uncertainties on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-uncertainties
            
                    
    
    Copied

2. Uninstall "python-uncertainties" package

This is a short guide on how to uninstall python-uncertainties on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-uncertainties
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python-uncertainties
Priority: optional
Section: universe/python
Installed-Size: 667
Maintainer: Ubuntu Developers
Original-Maintainer: David Paleino
Architecture: all
Source: uncertainties
Version: 2.4.4-1
Provides: python2.7-uncertainties
Depends: python:any (>= 2.7.5-5~), python:any (<< 2.8)
Recommends: python-numpy
Filename: pool/universe/u/uncertainties/python-uncertainties_2.4.4-1_all.deb
Size: 138748
MD5sum: 8304b74a6f7e7d6108a35184d2f33a96
SHA1: eb232c08f6c6ddd005c6c504940315c8c00b1deb
SHA256: e46df93cc132350ae1cbed785e903692e38c48d43f2262e0f6b105680253ce16
Description-en: Python module for calculations with uncertainties
uncertainties is a Python module, which allows calculations such as
.
(0.2 +/- 0.01) * 2 = 0.4 +/- 0.02
.
to be performed transparently; much more complex mathematical expressions
involving numbers with uncertainties can also be evaluated transparently.
.
Correlations between expressions are correctly taken into account; x-x is
thus exactly zero, for instance. The uncertainties produced by this module
are what is predicted by error propagation theory.
Description-md5: ddd845c465b9d32bc5445ebd39a9485b
Homepage: http://packages.python.org/uncertainties/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu