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

Last updated: May 18,2024

1. Install "python-pyopencl-doc" package

Please follow the guidance below to install python-pyopencl-doc on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-pyopencl-doc
            
                    
    
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2. Uninstall "python-pyopencl-doc" package

Here is a brief guide to show you how to uninstall python-pyopencl-doc on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: python-pyopencl-doc
Priority: optional
Section: universe/doc
Installed-Size: 894
Maintainer: Ubuntu Developers
Original-Maintainer: Tomasz Rybak
Architecture: all
Source: pyopencl
Version: 2015.1-2build3
Depends: libjs-sphinxdoc (>= 1.0)
Suggests: python-pyopencl, python3-pyopencl
Filename: pool/universe/p/pyopencl/python-pyopencl-doc_2015.1-2build3_all.deb
Size: 117694
MD5sum: 011c08ede7490c276af155ee23e00be1
SHA1: bb8ff1bad9501fceb0fd1b0ac410bd93cff17e93
SHA256: 71a45c5b00ebc27c7699addb098841eb7356fcca568eded0266e2113c9603efa
Description-en: module to access OpenCL parallel computation API (documentation)
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).
.
This package contains HTML documentation and example scripts.
Description-md5: 0b1f9cb9c27d466dca495ad8192d962e
Homepage: http://mathema.tician.de/software/pyopencl
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu