Computational Physics: Scientific Programming with Python
From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more
4.60 (937 reviews)
7 157
students
21 hours
content
Jan 2024
last update
$84.99
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What you will 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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4426792
udemy ID
02/12/2021
course created date
28/01/2022
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