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

Last updated: September 28,2024

1. Install "python-viper" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-viper
            
                    
    
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2. Uninstall "python-viper" package

Please follow the guidance below to uninstall python-viper on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-viper
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-viper package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-viper
Priority: extra
Section: universe/python
Installed-Size: 473
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Architecture: all
Source: viper
Version: 1.0.0-1
Depends: python-numpy, python-vtk, python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8)
Suggests: python-dolfin, mencoder
Filename: pool/universe/v/viper/python-viper_1.0.0-1_all.deb
Size: 158956
MD5sum: 24049c42c88d9b596cdabbfba60fb8c9
SHA1: 8a26e3db54e5ed8167c9856fc51482258ad73cbd
SHA256: e9306f2ff8283e9ca18e7c9187c890ed8aa4fc97cdc9cdf79808a6bb2c503195
Description-en: minimalistic scientific plotter and run-time visualization module
Viper is a light–weight runtime visualization package for scalar and vector
fields over unstructured meshes. The intended use is simple plotting, not
advanced post–processing. As a consequence, Viper is mainly controlled by
key–bindings, available when Viper is run in interactive mode.
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Viper can be used in two different modes; one mode that is stand-alone
working with a simplified unstructured mesh format given by a vertex array
and a cell-node connectivity array, and floating point numpy arrays
representing either scalar or vector fields over the mesh. The other mode is
tied to DOLFIN, aiming at providing that project a simple way of visualizing
native DOLFIN data types such as dolfin::Mesh, dolfin::Function, and
dolfin::MeshFunction.
Description-md5: 67aeef4b28ee54db2ce0f1df10e80ab5
Homepage: http://fenicsproject.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu