How to Install and Uninstall python3-compyle Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 09,2024

1. Install "python3-compyle" package

In this section, we are going to explain the necessary steps to install python3-compyle on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-compyle
            
                    
    
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2. Uninstall "python3-compyle" package

This is a short guide on how to uninstall python3-compyle on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-compyle
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-compyle package on Ubuntu 21.10 (Impish Indri)

Package: python3-compyle
Architecture: all
Version: 0.7-2
Priority: optional
Section: universe/python
Source: compyle
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 529
Depends: cython3, python3-mako, python3-numpy, python3-pytools, python3:any
Suggests: python3-pycuda, python3-pyopencl
Filename: pool/universe/c/compyle/python3-compyle_0.7-2_all.deb
Size: 84612
MD5sum: 78bb94dbc7ae351d9f9f9457b4403de0
SHA1: 181bbb5a65ced4e90625bf4249d07dce1db768e7
SHA256: 63ae6289678de2afa3185d0440a53649242184971bcb82ce52d056954ccef4e8
SHA512: 0098c524d60fd30319c583e477e2b866deed06803e0545b28657d2967b40f052c1702f0bc400d3a48678d4f65244be7cedacd550c8542c34454f73918cbb7eee
Homepage: https://github.com/pypr/compyle
Description-en: Execute a subset of Python on HPC platforms
ComPyle allows users to execute a restricted subset of Python (almost
similar to C) on a variety of HPC platforms. Currently it supports
multi-core execution using Cython, and OpenCL and CUDA for GPU devices.
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Users start with code implemented in a very restricted Python syntax,
this code is then automatically transpiled, compiled and executed to run
on either one CPU core, or multiple CPU cores (via OpenMP_) or on a GPU.
CPy offers source-to-source transpilation, making it a very convenient
tool for writing HPC libraries.
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Some simple yet powerful parallel utilities are provided which can allow
you to solve a remarkably large number of interesting HPC problems.
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ComPyle also features JIT transpilation if you wish making it easy to use.
Description-md5: 2f80dc2cdc6fc3bed5fe6f505745722b