Python simply does an initial check of each of the arrays in question, then hands them as a single object to the external library. The external library does all of the hard work, then hands back a ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with ...

This creates accelerated object kernels that are usable from Python code. The chapter explores in detail how to refactor Python code to take advantage of NumExpr’s capabilities. The author, Fabio ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

NumPy (Numerical Python) is an open-source library for the Python programming language. It is used for scientific computing and working with arrays. Apart from its multidimensional array object ...

George Washington University is launching a groundbreaking example of inter-institutional collaboration in open education through a Massive Open Online Course (MOOC) entitled “ Practical Numerical ...