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

Last updated: May 17,2024

1. Install "pyviennacl-doc" package

Please follow the step by step instructions below to install pyviennacl-doc on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install pyviennacl-doc

2. Uninstall "pyviennacl-doc" package

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

$ sudo apt remove pyviennacl-doc $ sudo apt autoclean && sudo apt autoremove

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

Package: pyviennacl-doc
Priority: optional
Section: universe/doc
Installed-Size: 325
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: all
Source: pyviennacl
Version: 1.0.2+dfsg-1build3
Depends: libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/p/pyviennacl/pyviennacl-doc_1.0.2+dfsg-1build3_all.deb
Size: 41770
MD5sum: ca85e7120f30276cb68d902e0e2eeec3
SHA1: 9664c2261df4d5214a99c599aafa21de801c4ec6
SHA256: 119ccbd92c03cd3fdcc3eb0fb06b00bbda2e18159e2bb0e79f372df00444edb7
Description-en: HTML documentation for PyViennaCL
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 HTML documentation for PyViennaCL.
Description-md5: 8680e90816b301c9154ed5dd8878132f
Homepage: http://viennacl.sourceforge.net/pyviennacl.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu