Cython (eBook, PDF) - Smith, Kurt W.
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Build software that combines Pythons expressivity with the performance and control of C (and C++). Its 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, youll learn how to use Cython to improve Pythons performanceup to 3000x and to wrap C and C++ libraries in Python with ease.Author Kurt Smith takes you through Cythons capabilities, with sample code and in-depth practice exercises. If youre just starting with Cython, or want to go deeper,…mehr

Produktbeschreibung
Build software that combines Pythons expressivity with the performance and control of C (and C++). Its 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, youll learn how to use Cython to improve Pythons performanceup to 3000x and to wrap C and C++ libraries in Python with ease.Author Kurt Smith takes you through Cythons capabilities, with sample code and in-depth practice exercises. If youre just starting with Cython, or want to go deeper, youll learn how this language is an essential part of any performance-oriented Python programmers arsenal.Use Cythons static typing to speed up Python codeGain hands-on experience using Cython features to boost your numeric-heavy PythonCreate new types with Cythonand see how fast object-oriented programming in Python can beEffectively organize Cython code into separate modules and packages without sacrificing performanceUse Cython to give Pythonic interfaces to C and C++ librariesOptimize code with Cythons runtime and compile-time profiling toolsUse Cythons prange function to parallelize loops transparently with OpenMP

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Autorenporträt
Kurt Smith has been using Python in scientific computing ever since his college days, looking for any opportunity to incorporate it into his computational physics classes. He has contributed to the Cython project as part of the 2009 Google Summer of Code, implementing the initial version of typed memoryviews and native cython arrays. He uses Cython extensively in his consulting work at Enthought, training hundreds of scientists, engineers, and researchers in Python, NumPy, Cython, and parallel and high-performance computing.