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
Cython - A Guide for Python Programmers
Kurt W. Smith
O'reilly
2015
254 páginas
8h 28m
ISBN-13: 9781491901557
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