Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...

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 unofficial Python client library for interacting with the Sesame voice conversation API. This package provides easy access to Sesame's voice-based AI characters, allowing developers to create ...

A set of custom mGear Shifter components. A library of tools that can be used by those components or mGear custom step scripts. The main aim being to expand on the feature set of an established rig ...

Learn coding in Python, Go and Rust from Serdar Yegulalp, software dev specialist and senior writer at InfoWorld. You might be familiar with how Python and C can work together, by way of projects like ...