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