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Build software that combines Pythonâ s expressivity with the performance and control of C (and C++). Itâ 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, youâ ll learn how to use Cython to improve Pythonâ s performanceâ up to 3000xâ and to wrap C and C++ libraries in Python with ease. Author Kurt Smith takes you through Cythonâ s capabilities, with sample code and in-depth practice exercises. If youâ re just starting with Cython, or want to go deeper, youâ ll learn how this language is an essential part of any performance-oriented Python programmerâ s arsenal. Use Cythonâ 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 Cythonâ 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 Cythonâ s runtime and compile-time profiling tools Use Cythonâ s prange function to parallelize loops transparently with OpenMP
- Author:
- Kurt W. Smith
- Publisher:
- O'Reilly Media
- Publication Date:
- Feb 24, 2015
- Number of pages:
- 251 pages
- Binding:
- Paperback or Softback
- ISBN-10:
- 1491901551
- ISBN-13:
- 9781491901557