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 ...

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.