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Description
Build software that combines Pythonâ s expressivity with the performance and control of C (and C++). Itâ 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, youâ ll learn how to use Cython to improve Pythonâ s performanceâ up to 3000xâ and to wrap C and C++ libraries in Python with ease.
Author Kurt Smith takes you through Cythonâ s capabilities, with sample code and in-depth practice exercises. If youâ re just starting with Cython, or want to go deeper, youâ ll learn how this language is an essential part of any performance-oriented Python programmerâ s arsenal.
- Use Cythonâ 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 Cythonâ 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 Cythonâ s runtime and compile-time profiling tools
- Use Cythonâ s prange function to parallelize loops transparently with OpenMP
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 251
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9781491901557
- Date de parution :
- 24-02-15
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 150 mm x 259 mm
- Poids :
- 408 g
