Build software that combines Python's expressivity with the performance and control of C (and C++).
It's possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn.
In this practical guide, you'll learn how to use Cython to improve Python's performance - up to 3000x - and to wrap C and C++ libraries in Python with ease.
Author Kurt Smith takes you through Cython's capabilities, with sample code and in-depth practice exercises.
If you're just starting with Cython, or want to go deeper, you'll learn how this language is an essential part of any performance-oriented Python programmer's arsenal. Use Cython's static typing to speed up Python code Gain hands-on experience using Cython features to boost your numeric-heavy Python Create new types with Cython - and see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules and packages without sacrificing performance Use Cython to give Pythonic interfaces to C and C++ libraries Optimize code with Cython's runtime and compile-time profiling tools Use Cython's prange function to parallelize loops transparently with OpenMP
- Format: Paperback
- Pages: 254 pages, black & white illustrations
- Publisher: O'Reilly Media, Inc, USA
- Publication Date: 27/01/2015
- Category: Web programming
- ISBN: 9781491901557