In this video, Jan Meinke and Olav Zimmermann from the Jülich Supercomputing Centre present: High-Performance Computing with Python: Reducing Bottlenecks. This course addresses scientists with a ...

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.

What does it take to build a quantum computer? Lots of exotic supercooled hardware. However, creating a simulator isn’t nearly as hard and can give you a lot of insight into how this kind of computing ...

The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient. But for the developers behind the Julia ...

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 ...

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 ...