This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Researchers built an automated mass spectrometry and molecular mapping platform to track how human liver cells process ...

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental capacity and probability density methods, it improves ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Abstract: Purely data-driven ionospheric modeling inadequately adheres to fundamental physical laws. PINN-SAMI3 [1], as a novel data assimilation framework, integrates the control equations of the ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...

Learn about semivariance, a key metric for assessing a portfolio’s downside risk. Understand its formula and how to calculate potential negative variations below the mean.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

No fake news here, you really can program with musical notes if you want to!