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

In this Python Physics lesson, we explore modeling current as a function of time in RC circuits. Learn how to simulate the charging and discharging behavior of resistors and capacitors using Python, ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

This module provides function decorators which can be used to wrap a function such that it will be retried until some condition is met. It is meant to be of use when accessing unreliable resources ...