Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

My God, could you imagine trying to explain this debacle to any coal miner from 100 years ago? How we have all the safety technology a century can bring, but we’re still shoring up holes with timber?

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

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 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Here we make explicit the connection between subscript notation in mathematics and indices in Python. In mathematics: Say we have a collection of objects X. We can refer to individual elements of the ...

There are four common Python loop mistakes that happen to just about everyone. These are crucial, too. Making a mistake with a Python loop can affect your program's performance and reliability. Dr.

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

Abstract: Computational notebooks have become the tool of choice for many data scientists and practitioners for performing analyses and disseminating results. Despite their increasing popularity, the ...