In work package 1, we assessed the computational reproducibility of eight discrete-event simulation papers with models in Python and R. The reproductions and findings ...

Thon, as it’s more commonly called, started at 6 p.m. Friday. The opening hours included learning the line dance, which is ...

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 ...

Explore Python Physics Lesson 10 and learn how to visualize a mass on a spring in 3D using Python simulations. This lesson walks you through modeling oscillatory motion, understanding spring dynamics, ...

Kompass: a framework for building robust and comprehensive event-driven navigation stacks using an easy-to-use and intuitive Python API EmbodiedAgents: a fully-loaded framework for creating ...

Are you curious about coding, have a project in mind and don’t know where to start or think developing fundamental knowledge about programming can be helpful? In this workshop, we will use Python, a ...

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

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop offers a gentle ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...