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

Last updated: May 18,2024

1. Install "python-pyopencl" package

This guide let you learn how to install python-pyopencl on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install python-pyopencl

2. Uninstall "python-pyopencl" package

This tutorial shows how to uninstall python-pyopencl on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove python-pyopencl $ sudo apt autoclean && sudo apt autoremove

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

Package: python-pyopencl
Priority: optional
Section: universe/python
Installed-Size: 1887
Maintainer: Ubuntu Developers
Original-Maintainer: Tomasz Rybak
Architecture: amd64
Source: pyopencl
Version: 2015.1-2build3
Replaces: python-pyopencl-headers
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, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python-appdirs, python-decorator, python-pytools (>= 2014.2), python:any (>= 2.7.5-5~), mesa-opencl-icd | beignet | opencl-icd, python-pkg-resources
Recommends: python-pyopencl-doc, python-opengl, python-mako
Suggests: python-imaging-tk, python-pytest, python-matplotlib, python-pyopencl-dbg
Filename: pool/universe/p/pyopencl/python-pyopencl_2015.1-2build3_amd64.deb
Size: 358722
MD5sum: 9b0bd7d482d35195fb43418f76982638
SHA1: 948019dc6940ae601229421c149899e063be79f8
SHA256: 6163d198232e2b7af45f89b5d0d4ee0db2491d4b5bdc73cce5c5a41a5a21043e
Description-en: Python module to access OpenCL parallel computation API
PyOpenCL lets you access the OpenCL parallel computation API from
Python. Here's what sets PyOpenCL apart:
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL’s API at your
disposal, if you wish.
* Convenience. While PyOpenCL's primary focus is to make all of OpenCL
accessible, it tries hard to make your life less complicated as it
does so--without taking any shortcuts.
* Automatic Error Checking. All OpenCL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful, complete documentation and a wiki.
* Liberal licensing (MIT).
Description-md5: 2518acfbf350bd58788cf5f83141b61c
Homepage: http://mathema.tician.de/software/pyopencl
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu