Synopsis

Build software that combines Pythons expressivity with the performance and control of C (and C++). Its 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, youll learn how to use Cython to improve Pythons performance up to 3000x and to wrap C and C++ libraries in Python with ease.

Author Kurt Smith takes you through Cythons capabilities, with sample code and in-depth practice exercises. If youre just starting with Cython, or want to go deeper, youll learn how this language is an essential part of any performance-oriented Python programmers arsenal.

Use Cythons 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 Cythons runtime and compile-time profiling tools Use Cythons prange function to parallelize loops transparently with OpenMP

• Paperback
• Publisher: SHROFF
• Language: English
• ISBN: 9789351109976
• Product dimensions: 24 x 18 x 1 cm