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

Welcome to Python Physics Lesson 13, where we explore how two masses interact via a spring. In this lesson, we break down the physics of spring-mass systems and demonstrate how to simulate their ...

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

This library is not meant to stand-alone. Instead it defines common helpers used by all Google API clients. For more information, see the documentation. Python == 2.7, Python == 3.5, Python == 3.6, ...

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

Panama City Beach officials have designated March 28 to April 11 as a "high impact period" for spring break. Police data from last year's spring break showed hundreds of arrests, thousands of ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

The 2025-26 NHL season is more than halfway complete and plenty will be happening down the stretch. The biggest event will be overseas as the league shuts down to send its players to the Winter ...