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

Last updated: November 23,2024

1. Install "python-pyviennacl" package

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


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

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


    
        
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                sudo apt remove
            
                        
                python-pyviennacl
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python-pyviennacl
Priority: optional
Section: universe/python
Installed-Size: 8629
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: pyviennacl
Version: 1.0.2+dfsg-1build3
Depends: libboost-python1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.1-1, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), python-scipy
Suggests: pyviennacl-doc
Filename: pool/universe/p/pyviennacl/python-pyviennacl_1.0.2+dfsg-1build3_amd64.deb
Size: 1076240
MD5sum: 200ee3cf1c685e53f1988a49be73c811
SHA1: 600de9567851b668d517100ac37e011c341e2cb0
SHA256: c5f07ac5d0279b81cf35e352b7ff8806120694ac32c53b54a6080eed6aa88568
Description-en: Python bindings for ViennaCL linear algebra library (for Python 2)
The Vienna Computing Library (ViennaCL) is a free open-source
scientific computing library written in C++ and provides CUDA, OpenCL
and OpenMP computing backends. It enables simple, high-level access
to the vast computing resources available on parallel architectures
such as GPUs and is primarily focused on common linear algebra
operations (BLAS levels 1, 2 and 3) and the solution of large systems
of equations by means of iterative methods with optional
preconditioners.
.
This package provides the Python 2 bindings for ViennaCL, PyViennaCL,
letting you harness the computational power of ViennaCL in the
context of the Python scientific ecosystem.
Description-md5: 74924b6f8242df6a9ef900bc9f13d5f3
Homepage: http://viennacl.sourceforge.net/pyviennacl.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu