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
About the Author
About the Reviewer

Numba versus Cython

Numba is another way to get your Python code to become almost native to your host system by outputting the code to be run on LLVM seamlessly. Numba makes use of decorators such as the following:

def myFunction (): ...

Numba also integrates with NumPy. On the whole, it sounds great. Unlike Cython, you only apply decorators to pure Python code, and it does everything for you, but you may find that the optimizations will be fewer and not as powerful.

Numba does not integrate with C/C++ to the extent that Cython does. If you want it to integrate, you need to use Foreign Function Interfaces (FFI) to wrap calls. You also need to define structs and work with C types in Python code in a very abstract sense to a point where you don't really have much control as compared with Cython.

Numba is mostly comprised of decorators, such as @locals, from Cython. But in the end, all this creates is just-in-time-compiled functions with a proper native function signature. Since you can...