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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from O'Reilly Media

Cover of the book HTML5: Up and Running by Kurt W. Smith
Cover of the book Cloud Architecture Patterns by Kurt W. Smith
Cover of the book Hadoop Operations by Kurt W. Smith
Cover of the book C# 3.0 Pocket Reference by Kurt W. Smith
Cover of the book Data Analytics with Hadoop by Kurt W. Smith
Cover of the book Java Enterprise Best Practices by Kurt W. Smith
Cover of the book Access 2003 for Starters: The Missing Manual by Kurt W. Smith
Cover of the book Getting Started with OAuth 2.0 by Kurt W. Smith
Cover of the book Thoughtful Machine Learning by Kurt W. Smith
Cover of the book RESTful Web APIs by Kurt W. Smith
Cover of the book The Sustainable Network by Kurt W. Smith
Cover of the book Programming Interactivity by Kurt W. Smith
Cover of the book Online-Shops mit OXID-eShop by Kurt W. Smith
Cover of the book Learning Unix for OS X by Kurt W. Smith
Cover of the book Creating Keynote Slideshows: The Mini Missing Manual by Kurt W. Smith
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy