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 ...

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.

Math and scientific computing thrive when you can make use of the full resources available on a given machine, especially multiple cores. Both Python and Julia can run operations in parallel.

Apparently they are trying to introduce Python for scientific computing, they are using Windows (on a typical, locked-down environment).

For scientific computing, the last item I want to look at is the ability to visualize data. Humans often can make intuitive leaps by being able to see how data looks. The default setting for spyder is ...