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

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 ...

Already in its 4 th edition, Invent Your Own Computer Games with Python is pretty close to the ultimate how-to-learn python book. First, it combines an easy ramp up from expecting you to know ...

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.

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. A commercially viable quantum computer would equal a ...