Cython

A Guide for Python Programmers

Nonfiction, Computers, Database Management, Programming, Programming Languages, General Computing
Cover of the book Cython by Kurt W. Smith, O'Reilly Media
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Author: Kurt W. Smith ISBN: 9781491901755
Publisher: O'Reilly Media Publication: January 21, 2015
Imprint: O'Reilly Media Language: English
Author: Kurt W. Smith
ISBN: 9781491901755
Publisher: O'Reilly Media
Publication: January 21, 2015
Imprint: O'Reilly Media
Language: English

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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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.

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