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 ...

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 ...

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 projects.Mastering a mix of data, AI, and web-focuse ...

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 ...

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.

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 ...

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 ...

Coders often use R for doing statistics, whereas Python, which is often considered more intuitive, is good for repetitive tasks and for extracting data from web-based applications.

Camber wants to modernize scientific computing with cloud-based tools. It raised $4 million using this pitch deck.