Book Image

Learning Cython Programming (Second Edition) - Second Edition

By : Philip Herron
Book Image

Learning Cython Programming (Second Edition) - Second Edition

By: Philip Herron

Overview of this book

Cython is a hybrid programming language used to write C extensions for Python language. Combining the practicality of Python and speed and ease of the C language it’s an exciting language worth learning if you want to build fast applications with ease. This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers. You’ll find out how to get set up, before exploring the relationship between Python and Cython. You’ll also look at debugging Cython, before moving on to C++ constructs, Caveat on C++ usage, Python threading and GIL in Cython. Finally, you’ll learn object initialization and compile time, and gain a deeper insight into Python 3, which will help you not only become a confident Cython developer, but a much more fluent Python developer too.
Table of Contents (14 chapters)
Learning Cython Programming Second Edition
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Calling C++ functions – Caveat


When you write a code to call in a C++ function from C, you need to wrap the prototypes in the following:

extern "C" { … }

This allows you to call C++ prototypes because C won't understand a C++ class. With Cython, if you are telling your C output to call in C++ functions, you need to be careful about which compiler you are using or you need to write a new header to implement the minimal wrapper functions required to make the C++ calls.

Namespaces – Caveat

Cython seems to generally require a namespace to keep things nested, which you are already probably doing in your C++ code. Making PXD on non-namespaced code seems to make new declarations, meaning that you will get linking errors due to multiple symbols. The C++ support looks really good from these templates, and more metaprogramming idioms can be difficult to express in Cython. When polymorphism comes into play, it can be difficult to track down compilation errors. I would stress that you should keep your interfaces...