Numerical differentiation in Python is a simple and powerful way to approximate derivatives and analyze data. In this video, we explore how to compute numerical derivatives using Python with ...

The N’Guérédonké deposit, Faranah Province (Republic of Guinea), is part of the Leonian-Liberian crystalline shield, consisting of Archean granitoids and greenstone formations with a syn-tectonic ...

Regex is a powerful – yet overlooked – tool in search and data analysis. With just a single line, you can automate what would otherwise take dozens of lines of code. Short for “regular expression,” ...

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 ...

Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...

Abstract: Sparse principal component analysis (SPCA) is widely used for dimensionality reduction and feature extraction in high-dimensional data analysis. Despite many methodological and theoretical ...

For decades, engineers and scientists have relied on Discontinuous Deformation Analysis (DDA) to understand how rocks behave under stress — think landslides, rock blasting and stability of tunnels.

I use a mechanical strategy to buy or hold SPY if the S&P 500 closes above its 200-day SMA at month-end. This strategy avoids emotional decisions, keeping me long in uptrends and out of the market in ...