As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

Imagine if UCLA offered a course in building doghouses. With only 10 weeks, you would expect the class to teach students the basics needed to produce a final product – maybe focusing on how to sketch ...

In this video from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. We will introduce Numba and RAPIDS for GPU programming in Python.

A team of computer scientists recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow -- up to 60,000 times slower than code written in ...