
Explore superposition of energy eigenstates in a 1D infinite square well through calculations and Python modeling.

Explore an improved spring-ball model for bouncing, featuring multiple interconnected balls and springs for enhanced simulation accuracy.

Analyze Ezra-Sabine's Force jump from Ahsoka using Tracker Video Analysis. Learn to model projectile motion, set scales, and solve physics problems with Python.

Explore wave functions for particles confined to rings, including normalized solutions and Python plotting code.

Master relative velocity concepts in physics through practical problem-solving. Tackle train, boat, and airplane scenarios to understand vector-based calculations and real-world applications.

Model the ideal gas law with bouncing balls in Python and calculate pressure and temperature.

Model the Cavendish experiment using Python to explore gravitational forces between masses. Learn to simulate and analyze this classic physics experiment through coding.

Improve ball collision modeling for a flat solar system simulation, focusing on conservation of momentum and angular momentum.

Calculate the gravitational field of a hollow Earth using Python, exploring its effects on surface gravity and comparing to real-world experiments.

Derive the far field approximation for an electric dipole, exploring its mathematical foundations and practical applications in electromagnetic theory.

Explore numerical line integrals using Python to calculate work done in force fields. Gain practical coding skills for solving complex physics problems.

Derive the electric field of a uniform charged ring using Python and analytical methods. Compare numerical and theoretical approaches.

Explore electric potential, conservative forces, and energy concepts in electromagnetism. Learn to calculate fields and potentials for various charge distributions.

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

Explore magnetic fields, currents, and dipoles through interactive demos and key concepts in electromagnetism.

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

Explore two methods for calculating potential change near a dipole: using electric field expression and numerical computation with Python.

Derive the magnetic field from a current loop and perform numerical calculations using Python, enhancing understanding of electromagnetic principles.

Explore the physics behind Tesla's ambitious 0-60 mph acceleration claim, analyzing feasibility and engineering challenges.

Explore Python coding to calculate pi using random walks, from 1D to 3D simulations. Enhance mathematical understanding through practical programming.

Explore magnetic force concepts, from charge interactions to practical applications like electric motors and the Hall Effect.