There are many ways to edit, debug and run your Python code. This page describes how to program and utilize Python in CSIL. warning: this page is under construction. Your comments are welcome. (April ...

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 ...

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 ...

What does it take to build a quantum computer? Lots of exotic supercooled hardware. However, creating a simulator isn’t nearly as hard and can give you a lot of insight into how this kind of computing ...

The University Research Computing Facility (URCF) is pleased to announce our Summer 2025 workshop series. The URCF provides support for computational research at Drexel. These workshops are open to ...

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

When it comes to using a computer, there are multiple approaches you can take. You might just use it to complete your basic tasks like opening apps, writing, researching, sending emails, and basic ...

In this video, Pawel Pomorski from SHARCNET presents: High Performance Computing with Python. Python has numerous advantages over traditional compiled languages like C and Fortran, and it is seeing ...