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Estimate elevator height using smartphone acceleration data and Python for numerical integration. Learn practical physics application.
Derive the electric field for charged plates and parallel capacitors through step-by-step explanations and calculations.
Model planetary orbits and verify Kepler's 2nd Law using Python, demonstrating equal area sectors in equal time periods through orbital motion simulations and sector area calculations.
Explore three methods to calculate work done by normal force: constant forces, line integral, and spring-based modeling. Enhance understanding of classical mechanics.
Solve a physics problem involving a block of ice sliding on an inverted spherical bowl using the work-energy principle to determine the point of detachment.
Explore numerical line integral calculations in Python for classical mechanics, breaking paths into short steps and comparing with analytical methods.
Explore the impact of air resistance on falling objects through a comparative analysis of dropped and horizontally launched balls using various drag models.
Explore linear motion with quadratic drag in classical mechanics, deriving velocity and position functions over time using Python simulations.
Explore 2D projectile motion with linear drag, analyzing range and velocity for specific scenarios like a tiny ice ball launch. Includes Python code demonstration.
Explore falling objects with linear drag, analyzing velocity and position over time. Includes Python modeling for practical application.
Learn to create linear graphs for physics labs using Vernier's Graphical Analysis software, enhancing data visualization and analysis skills.
Explore cylindrical coordinates in classical mechanics, analyzing particle motion on a vertical cylinder surface using Newton's second law.
Explore pendulum motion using polar coordinates and Newton's second law, with Python implementation for practical modeling.
Explore Newton's second law using a fan cart, measuring acceleration as a function of mass in this hands-on physics experiment.
Explore simple harmonic motion through mass-spring systems, including realistic scenarios and numerical calculations using Python.
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