By Kurt W. Smith
Build software program that mixes Python's expressivity with the functionality and keep an eye on of C (and C++). It's attainable with Cython, the compiler and hybrid programming language utilized by foundational programs reminiscent of NumPy, and well-liked in initiatives together with Pandas, h5py, and scikits-learn. during this functional advisor, you'll how one can use Cython to enhance Python's performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.
Author Kurt Smith takes you thru Cython's features, with pattern code and in-depth perform workouts. If you're simply beginning with Cython, or are looking to move deeper, you'll find out how this language is an important a part of any performance-oriented Python programmer's arsenal.
• Use Cython's static typing to hurry up Python code
• achieve hands-on event utilizing Cython good points to spice up your numeric-heavy Python
• Create new varieties with Cython—and see how briskly object-oriented programming in Python can be
• successfully manage Cython code into separate modules and programs with no sacrificing performance
• Use Cython to offer Pythonic interfaces to C and C++ libraries
• Optimize code with Cython's runtime and compile-time profiling tools
• Use Cython's prange functionality to parallelize loops transparently with OpenMP
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