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Learning Cython Programming (Second Edition) - Second Edition

You're reading from  Learning Cython Programming (Second Edition) - Second Edition

Product type Book
Published in Feb 2016
Publisher Packt
ISBN-13 9781783551675
Pages 110 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Philip Herron Philip Herron
Profile icon Philip Herron
LinkedIn
Philip Herron is a developer who focuses his passion toward compilers and virtual machine implementations. When he was first accepted to Google Summer of Code 2010, he used inspiration from Paul Biggar's PhD on the optimization of dynamic languages to develop a proof of the concept GCC frontend to compile Python. This project sparked his deep interest in how Python works. After completing a consecutive year on the same project in 2011, Philip applied to Cython under the Python foundation to gain a deeper appreciation of the standard Python implementation. Through this he started leveraging the advantages of Python to control the logic in systems or even add more high-level interfaces, such as embedding Flask web servers in a REST API to a system-level piece of software, without writing any C code. Philip currently works as a software consultant for Instil Software based in Northern Ireland. He develops mobile applications with embedded native code for video streaming. Instil has given him a lot of support in becoming a better engineer. He has written several tutorials for the UK-based Linux Format magazine on Python and loves to share his passion for the Python programming language.
See other products by Philip Herron

Table of Contents (14) Chapters

Learning Cython Programming Second Edition
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Cython Won't Bite 2. Understanding Cython 3. Extending Applications 4. Debugging Cython 5. Advanced Cython 6. Further Reading Index

OpenMP support

OpenMP is a standard API in the shared-memory parallel computing for languages; it's used in several open source projects such as ImageMagick (http://www.imagemagick.org/) to try and speed up the processing on large image manipulations. Cython has some support for this compiler extension. But, you must be aware that you need to use compilers such as GCC or MSVC, which support OpenMP. Clang/LLVM has no OpenMP support yet. This isn't really a place to explain when and why to use OpenMP since it is really a vast subject, but you should check out the following website: http://docs.cython.org/src/userguide/parallelism.html.

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Authors (1)

Profile icon Philip Herron
LinkedIn
Philip Herron is a developer who focuses his passion toward compilers and virtual machine implementations. When he was first accepted to Google Summer of Code 2010, he used inspiration from Paul Biggar's PhD on the optimization of dynamic languages to develop a proof of the concept GCC frontend to compile Python. This project sparked his deep interest in how Python works. After completing a consecutive year on the same project in 2011, Philip applied to Cython under the Python foundation to gain a deeper appreciation of the standard Python implementation. Through this he started leveraging the advantages of Python to control the logic in systems or even add more high-level interfaces, such as embedding Flask web servers in a REST API to a system-level piece of software, without writing any C code. Philip currently works as a software consultant for Instil Software based in Northern Ireland. He develops mobile applications with embedded native code for video streaming. Instil has given him a lot of support in becoming a better engineer. He has written several tutorials for the UK-based Linux Format magazine on Python and loves to share his passion for the Python programming language.
Read more
See other products by Philip Herron

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