For work bound by Python’s native object types, the speedups won’t be large. But for numerical operations, or any operations not involving Python’s own internals, the gains can be massive.

If you remember from earlier, all of the standard arithmetic operations are overloaded to operate ... This short introduction should get you started in thinking of Python as a viable possibility in ...

Asynchronous operations and coroutines ... command interface to for machine learning libraries and other numerical algorithms. Python’s native libraries and third-party web frameworks provide ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

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 ...

Lead developer for Numerical Python and Pyfort ... utilized by data scientists to perform a variety of mathematical operations on large, multi-dimensional arrays and matrices.