April 2016
Beginner
156 pages
3h 23m
English
NumPy is a general-purpose library, designed to address most of the needs of a developer of scientific applications. However, as the code base and coverage of an application increase, so does the computation, and sometimes users demand more specific operations and optimized code segments. We have shown how NumPy and Python have tools, such as f2py and Cython, to address these demands. These tools may be an excellent choice for rewriting your functions to a natively compiled code in order to provide extra speed. But there may be some cases (leveraging a C library, such as NAG, to write some analytics) where you may want to do something more radical such as create a new data structure specifically for your ...