Cython by Kurt W. Smith

£23.99
Available
Product Ref. (e.g. ISBN, SKU)
9781491901557
Published:
27 Jan 2015
Format:
Paperback
Number of pages:
251 pages
Dimensions:
233x178x15mm
Weight:
0.666kgs
Author:
Cython is a compiler and hybrid programming language that combines the expressivity of Python with the performance and control of C (and C++). Kurt Smith shows how to use it to yield massive performance improvements over pure Python (up to 3000x) and how to easily wrap C and C++ libraries in Python.

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

About the Author: 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.

More Information
Number of pages 251

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