Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...
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 ...
This course is a quick tutorial on Matplotlib, a Python library for drawing 2D and 3D graphics. It is designed to get you started with Matplotlib quickly. 1 📖 🟢 Your First Matplotlib Lab Beginner ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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.