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.

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.

Python is now one of the most popular programming languages among developers and could soon overtake C++. But a much younger language, Julia -- a possible alternative to Python -- is catching on ...

AUSTIN, Texas, Aug. 9, 2023 — Anaconda Inc., provider of the world’s most popular data science & AI platform, announced its support of the Pandata stack, providing freely available open-source data ...