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Cython : A Guide for Python Programmers
by Kurt W. Smith




Overview -

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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Overview

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


This item is Non-Returnable.

 

Details

  • ISBN-13: 9781491901557
  • ISBN-10: 1491901551
  • Publisher: O'Reilly Media
  • Publish Date: January 2015
  • Page Count: 254
  • Dimensions: 10.2 x 5.9 x 0.5 inches
  • Shipping Weight: 0.9 pounds


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