Kurt W. Smith - Cython: A Guide for Python Programmers [2015, PDF, ENG]

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Kurt W. Smith - Cython: A Guide for Python Programmers [2015, PDF, ENG] (Size: 3.76 MB)
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Книги и журналы » Компьютерная литература » Программирование (книги)

Cython: A Guide for Python Programmers

Год: 2015
Автор: Kurt W. Smith
Жанр: Программирование
Издательство: O'Reilly Media
ISBN: 978-1491901557
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 254

Описание: 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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[spoiler="Оглавление"]
Content
Preface
Chapter 1Cython Essentials
Chapter 2Compiling and Running Cython Code
Chapter 3Cython in Depth
Chapter 4Cython in Practice: N-Body Simulation
Chapter 5Cython and Extension Types
Chapter 6Organizing Cython Code
Chapter 7Wrapping C Libraries with Cython
Chapter 8Wrapping C++ Libraries with Cython
Chapter 9Cython Profiling Tools
Chapter 10Cython, NumPy, and Typed Memoryviews
Chapter 11Cython in Practice: Spectral Norm
Chapter 12Parallel Programming with Cython
Chapter 13Cython in Context
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