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Explore gravitational motion simulation using VPython, focusing on Sun-Earth dynamics. Learn about Euler-Cromer method, indices tracking, and Earth's scale in space.
Explore 3D bouncy ball simulations using VPython. Learn about collisions, pressure, temperature, and the Ideal Gas Law through interactive coding and experimentation.
Explore temperature, pressure, and the Ideal Gas Law through bouncy ball simulations using VPython. Calculate and visualize ensemble properties in this engaging physics coding tutorial.
Learn to code bouncy ball physics simulations in VPython, including collision detection and vector calculations for realistic ball movements and interactions.
Explore elastic collision math for bouncy balls, covering conservation of momentum, parallel axis, and unit vectors. Practical application in coding physics simulations.
Learn to import lab data into Jupyter notebooks using pandas, access and manipulate the data, and create plots with customized labels for effective data analysis and visualization.
Reflections on 2022 AAPT Winter Meeting highlights, discussing exciting developments in physics education, including the James Webb Telescope, planetary systems, and the L5 Society.
Reflections on the 2022 AAPT Winter Meeting, discussing key developments in physics education, including climate change, energy conservation, and diversity, equity, and inclusion.
Explore projectile motion model validation through real-world examples and video analysis, enhancing understanding of physics concepts and practical applications.
Explore projectile trajectories by systematically altering properties, enhancing understanding of physics concepts through coding and visualization techniques.
Explore quantum mechanics using Python arrays to model spin, measurements, and strange experiments, with hands-on challenges for high school physics teachers.
Strategies for integrating computation into physics courses, including expanding the circle of instructors, creating space for computational content, and exploring CS pathways for effective teaching.
Learn Python basics in Jupyter Notebook, covering variables, complex numbers, and arrays. Designed for high school teachers to enhance quantum physics instruction.
Explore innovative computational methods for teaching modern physics, focusing on dynamic visualizations and hands-on investigations to enhance student understanding of complex quantum concepts.
Explore the intriguing Lonely Runner Conjecture through simulation, understanding its simplicity and the challenge of proving it conclusively.
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