Master Python functions and apply them to solve physics problems efficiently. Learn step-by-step techniques for simulations, calculations, and modeling in physics using Python. Ideal for students, ...

This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers. The session ...

In this video, we use Python to compare center and edge impacts in a physics simulation. Learn how impact position affects motion, force distribution, and outcomes through clear visualizations and ...

Abstract: This article introduces an innovative operational Bayesian neural network (BNN) framework for high-precision joint retrieval of aerosol optical depth (AOD) and aerosol layer height (ALH) ...

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Amid the chaos of revolutionary France, one man’s mathematical obsession gave way to a calculation that now underpins much of mathematics and physics. The calculation, called the Fourier transform, ...