Cython

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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