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

Last updated: December 25,2024

1. Install "python-sfepy" package

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


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-sfepy
            
                    
    
    Copied

2. Uninstall "python-sfepy" package

In this section, we are going to explain the necessary steps to uninstall python-sfepy on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-sfepy
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python-sfepy
Priority: optional
Section: universe/python
Installed-Size: 17026
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: sfepy
Version: 2015.1-2build1
Depends: ipython, libsuitesparse-dev, mayavi2, python-matplotlib, python-pyparsing, python-scipy, python-sparse, python-tables, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libc6 (>= 2.14)
Filename: pool/universe/s/sfepy/python-sfepy_2015.1-2build1_amd64.deb
Size: 3540978
MD5sum: 025e02d171c9991b774621461016772a
SHA1: 14a24298c4e40f774be9218a1eef6c2dce2fad80
SHA256: 8563baf9d572ce60b0b5a0dc41d8ae98e78ec1a177669308e8830b7a742399d2
Description-en: Simple Finite Elements in Python
SfePy is a software for solving systems of coupled partial differential
equations (PDEs) by the finite element method in 1D, 2D and 3D.
It can be viewed both as black-box PDE solver, and as a Python package
which can be used for building custom applications. The word “simple”
means that complex FEM problems can be coded very easily and rapidly.
Description-md5: de4aa15272c8064a8f70e7bd7b66ffa4
Homepage: http://sfepy.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu