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Explore Faraday's Law, Lenz's Law, and Maxwell's Equations. Understand inductors, transformers, and magnetic field energy density. Gain insights into electromagnetic principles and applications.
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 the physics of the 3-body problem, its significance in "The Three-Body Problem" media, and learn computational methods to solve it.
Implement finite difference method in Python to solve boundary value problems for differential equations. Learn practical numerical techniques.
Explore the fascinating interplay between light source shape and pinhole geometry in image projection.
Explore electric fields of uniformly charged spheres using Gauss's law and Python simulation with 10,000 random points for precise calculations.
Explore fundamental concepts of electromagnetic fields, including flux, Gauss's Law, and Maxwell's equations, with practical applications and in-depth explanations.
Master essential Python concepts for physics simulations using Web VPython, including graphing, functions, loops, vectors, and the Euler method for pendulum motion.
Explore magnetic force concepts, from charge interactions to practical applications like electric motors and the Hall Effect.
Explore Python coding to calculate pi using random walks, from 1D to 3D simulations. Enhance mathematical understanding through practical programming.
Explore circuit elements, capacitance, resistance, Ohm's law, and RC circuits in this comprehensive overview of electrical fundamentals.
Explore the damped harmonic oscillator, including analytical and numerical solutions using Python, with practical examples and homework.
Learn to calculate flux through a wedge surface using traditional integration and Python-based random number methods, enhancing your vector calculus and computational skills.
Explore the physics behind Tesla's ambitious 0-60 mph acceleration claim, analyzing feasibility and engineering challenges.
Derive the magnetic field from a current loop and perform numerical calculations using Python, enhancing understanding of electromagnetic principles.
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