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

Chapter 2. Understanding Cython

As I mentioned previously, there are a number of methods of using Cython. As the basics are very familiar to any Python programmer, it's important to review the linking models before getting into the programming language. This is what drives the design of applications when using Cython.

Next, we will get more familiar with the Cython programming language constructs, namely, the distinction between cdef and cpdef. Then, we will look at getting the most out of Cython by interfacing directly with native C types. Later in this book, we will see that it's possible to use native C++ STL container types. This is where you will gain the optimizations in execution, as no Python runtime is required to work with native types.

Finally, we will see how easy it is to work with callbacks to and from C and Python code. This is an interesting technique whereby you can offload logic from C code to Python.

Therefore, in this chapter, we will be diving into the following topics...