
Model a physics demo of two strings supporting a mass using Python to determine which string breaks first when pulled.

Explore magnetic fields created by wires through calculations and Python visualizations. Master theoretical concepts and practical applications in electromagnetism.

Calculate Earth's escape velocity using Python, exploring gravitational concepts and orbital mechanics.

Model elastic collisions using Python, simulating spring forces between overlapping objects for accurate physics simulations.

Learn to create an analog voltage meter using Arduino and Python, combining hardware interfacing with 3D visualization in vPython for real-time voltage measurement and display.

Model a falling and bouncing stick using Python, inspired by Veritasium's falling ladder problem. Explore physics simulations and coding techniques.

Model a wave on a string using finite difference calculations and Web VPython. Learn Python coding techniques for physics simulations and data visualization.

Model quantum tunneling using Numpy and finite difference method. Learn theory, create potential, wave functions, and Hamiltonian matrices. Visualize results with Python animations.

Explore frictionless ladder physics, determining the angle at which it loses wall contact using Euler method and ball-spring simulations in Python.

Model a flat, spinning solar system with 100 masses using Web VPython and Python code. Explore advanced simulation techniques for celestial mechanics.

Derive the electric field of a charged rod using calculus and Python, enhancing understanding through numerical calculations.

Master essential Python concepts for physics simulations using Web VPython, including graphing, functions, loops, vectors, and the Euler method for pendulum motion.

Model wave pulses on strings using finite difference method and Python with Web VPython. Gain hands-on experience in computational physics and wave mechanics.

Explore three approaches to solving a complex 4-mass oscillator problem: energy analysis, Python simulation, and Lagrangian mechanics using SymPy.