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Linear Algebra for Physics with Python

Let's Code Physics via YouTube

Overview

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Learn how to apply linear algebra concepts to physics problems using Python programming in this comprehensive tutorial covering matrix operations, equation solving, and real-world physics applications. Explore the fundamental usefulness of linear algebra in physics through practical examples including electrical circuits and Lorentz transformations. Master essential matrix operations such as addition, subtraction, and multiplication while discovering how to invert matrices to solve systems of equations. Investigate special cases where matrix operations fail and understand the underlying mathematical principles. Apply your knowledge to advanced physics concepts including single and multiple Lorentz transformations, demonstrating how linear algebra serves as a powerful tool for solving complex physics problems through computational methods.

Syllabus

Linear Algebra is Useful! (Linear Algebra for Physics with Python)
Circuits (Linear Algebra for Physics with Python)
Inverting Matrices to Solve Equations (Linear Algebra for Physics with Python)
A Matrix that Doesn't Work (Linear Algebra for Physics with Python)
Adding (and subtracting) Matrices (Linear Algebra for Physics with Python)
Lorentz Transformation (Linear Algebra for Physics with Python)
Multiplying Matrices (Linear Algebra for Physics with Python)
Multiple Lorentz Transformations (Linear Algebra for Physics with Python)

Taught by

Let's Code Physics

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