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 ...
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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
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