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 ...

NumPy, providing a library for financial and scientific computing with Python and featuring an N-dimensional array object, advanced array slicing methods, array reshaping methods, and other ...

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 ...

Jonas Lindemann discusses how remote access to HPC resources helps make researchers' lives easier and enables new users to access HPC more easily. LUNARC, the centre for scientific and technical ...

In this video, Dr. Marcelo Ponce from SciNet presents: Scientific Visualization with Python. "SciNet is Canada’s largest supercomputer centre, providing Canadian researchers with computational ...

An example of how variable computing environments can hinder collaboration. Suppose you have the latest versions of R and Python installed, but your collaborator has been slower to upgrade.

Software for in-memory computing is now being developed. Researchers have successfully developed a conversion layer for Python code that allows existing Python code to function with in-memory ...