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 ...
Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Dot Physics on MSN
Mastering 3D electric field simulations for a charged rod in Python
Master 3D electric field simulations of a charged rod using Python! 🐍⚡ This tutorial guides you step-by-step through visualizing electric field vectors in three dimensions, helping you understand ...
Dot Physics on MSN
Python physics tutorial: Modeling 1D motion with loops
Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results