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

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 ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

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.

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 ...

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.

Alphabet Inc. is poised for a strong Q4 2025, driven by robust cloud and advertising growth, supporting my reiterated buy rating. GOOG’s Q3 2025 saw Google Cloud revenue up 34% YoY and backlog surging ...