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

Product typeBook
Published inFeb 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781783551675
Edition2nd Edition
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Philip Herron
Philip Herron
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Philip Herron

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 about Philip Herron

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Linking models


Linking models are extremely important when considering how we can extend or embed things in native applications. There are two main linking models for Cython:

Fully embedded Python within C/C++ code, which looks like the following screenshot:

Using this method of embedding the Python runtime into a native application means you initiate execution of code directly from any point in your C/C++ code, as opposed to the Chapter 1, Cython Won't Bite where we had to run the Python interpreter and call an import to execute native code.

For the sake of completeness, here is the import model of using Cython:

This would be a more Pythonic approach to Cython, and will be helpful if your code base is mostly Python. We will review an example of the Python lxml module, which provides a Cython backend, later in this book, and we can compare it to the native Python backend to review the speed and execution of both code bases to perform the same task.

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Learning Cython Programming (Second Edition) - Second Edition
Published in: Feb 2016Publisher: PacktISBN-13: 9781783551675

Author (1)

author image
Philip Herron

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 about Philip Herron