Cython
O'Reilly Media (Verlag)
978-1-4919-0155-7 (ISBN)
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
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.
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
| Erscheint lt. Verlag | 24.2.2015 |
|---|---|
| Zusatzinfo | black & white illustrations |
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 187 x 231 mm |
| Gewicht | 440 g |
| Einbandart | Paperback |
| Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► C / C++ |
| Informatik ► Programmiersprachen / -werkzeuge ► Python | |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| Schlagworte | C (Programmiersprache) • Python (Programmiersprache) |
| ISBN-10 | 1-4919-0155-1 / 1491901551 |
| ISBN-13 | 978-1-4919-0155-7 / 9781491901557 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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