We are always amused that we can run emulations or virtual copies of yesterday’s computers on our modern computers. In fact, there is so much power at your command now that you can run, say, ...

From Power Query to the Data Model, here are the five architectural gaps that keep me paying for Microsoft 365.

In this Python astrophysics tutorial, I walk you through calculating the gravitational field produced by a ring of mass. Using numerical methods and Python libraries, we explore how to compute ...

Whether you’re solving geometry problems, handling scientific computations, or processing data arrays, calculating square roots in Python is a fundamental task. Python offers multiple approaches for ...

How to use Marimo, a better Jupyter-like notebook system for Python Jupyter Notebooks may be a familiar and powerful tool for data science, but its shortcomings can be irksome. Marimo offers a Jupyter ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Ever since it bought GPU firm ATI Technologies in 2006, AMD has experimented with all kinds of graphics architectures. Its current approach, one for PC clients and the other for data and AI servers, ...