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 ...

In this video, Dr. Marcelo Ponce from SciNet presents: Scientific Visualization with Python. “SciNet is Canada’s largest ... is an Applications Analyst at the SciNet High Performance Computing ...

Nevertheless, it’s already generated an excited buzz in scientific computing circles ... Julia can be as simple and direct to program in as Python while offering an order of magnitude increase ...

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 ...

Data Science and Analytics: Python is extensively used in data analysis, visualization, and scientific computing. Automation and Scripting: Python is a preferred language for automating repetitive ...

Camber wants to make scientific computing faster and more accessible with its cloud-based platform. The startup raised $4 million to help researchers process large datasets using powerful GPUs.