Computational Physics: Scientific Programming with Python
From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & moreWhat you'll learn
- Getting Started: A beginner-friendly crash course about NumPy, functions, loops, conditionals, lists, arrays & plots
- Numerical methods: Derivatives & integrals, differential equations & eigenvalue problems, interpolation & Monte Carlo methods
- Practice at Physics Problems: Moment of inertia, magnetic field of a wire, radioactive decay, harmonic oscillators, free fall, rolling balls
- Application to Advanced Problems: Chaotic systems, heat equation, 3-body problem, spaceship mission, coupled pendulums, magnetism, graphene & quantum physics
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