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.

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 ...

Apparently they are trying to introduce Python for scientific computing, they are using Windows (on a typical, locked-down environment). So I suggested that looking into Anaconda might be cool ...

Python is now one of the most popular programming ... to create a perfect language that suited their tasks in scientific computing, machine learning, data mining, large-scale linear algebra ...

Recently Python has become practical for coding in embedded systems, as well. Embedded microcontrollers are relevant for our annual robot design competition, NU engineering teams (Solar car, Baja), ...