Cython - A Guide For Python Programmers

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
  

https://rapidgator.net/file/7804762a3d5ab41007a4c4baca6d9c5d/

http://nitroflare.com/view/444C62A3D94F0E1/

http://alfafile.net/file/89q2i