
Explore current flow in a wrapped wire using a visual simulation, enhancing understanding of electron behavior in circuits through interactive coding and visualization.

Explore electron behavior in circuits with a multi-electron simulation, enhancing understanding of electrical conductivity and current flow.

Explore the apparent contradiction between Newton's Second Law and Ohm's Law through coding, using the Euler-Cromer Method to simulate electron collisions in a Drude circuit model.

Explore electric potential of various charged shapes through numerical integration. Hands-on coding with Scilab to visualize and analyze electrostatic phenomena beyond simple rectangles.

Explore 3-D visualization of electric potential using numerical integration. Learn to graph potential against x and y coordinates for various charged object shapes.

Explore numerical integration for electric potential of charged objects, comparing results with multipole expansion to verify accuracy.

Visualize electric potential through numerical integration, exploring various charged object shapes. Learn to graph V vs x using Scilab in this physics coding tutorial.

Simulate roller coasters using VPython and energy analysis. Learn to create dynamic physics simulations and gain insights into roller coaster mechanics and energy principles.

Explore computational techniques to visualize electric fields using derivatives of electric potential, enhancing understanding of electromagnetic phenomena through practical coding examples.

Explore computational techniques for calculating electric potential from point charges, building a foundation for solving complex electrostatics problems using computer simulations.

Explore the van der Pol oscillator, a complex physics system beyond simple harmonic motion. Learn to apply oscillator tools to study non-linear systems and their fascinating behaviors.

Explore non-power-law restoring forces in oscillating systems, extending simple harmonic motion concepts to more complex scenarios using computational tools and visual simulations.

Explore oscillating systems beyond Hooke's law using animation code. Discover complex behaviors in non-simple harmonic motion while applying familiar tools from simple harmonic oscillators.

Explore fundamental principles and applications of quantum mechanics in this comprehensive online discussion for advanced physics students.

Explore fundamental principles and applications of quantum mechanics in this comprehensive university-level physics lecture, covering advanced concepts and theories.

Learn to use spreadsheets for basic physics calculations, enhancing computational skills and problem-solving abilities in a visual, step-by-step manner.

Explore fundamental principles of mechanics in this live-streamed physics lecture, covering essential concepts for undergraduate-level understanding of motion and forces.

Explore the transition from quantum to classical mechanics through probability distributions, using computer animations to visualize quantum behaviors in VPython.

Explore quantum behavior of harmonic oscillators through computer animations. Visualize spring force in the quantum world and learn to build coherent states using VPython.

Simulate quantum mechanics with VPython, visualizing electron behavior in potential wells and barriers through computer animations.

Explore computational methods for calculating quantum expectation values, visualizing wave functions, and understanding the connection between quantum and classical mechanics.