Build software that combines Python's expressivity with the performance & control of C (and C) It's possible with Cython the compiler & hybrid programming language used by foundational packages such as Num Py & prominent in projects including Pandas h 5py & scikits-learn In this practical guide you'll learn how to use Cython to improve Python's performance
- up to 3000x
- & to wrap C & C libraries in Python with ease Author Kurt Smith takes you through Cython's capabilities with sample code & 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
- & see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules & packages without sacrificing performance Use Cython to give Pythonic interfaces toC & C libraries Optimize code with Cython's runtime & compile-time profiling tools Use Cython's prange function to parallelize loops transparently with Open MP