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Python Applied Mathematics Labs

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The labs on this website are designed to accompany the Foundations of Applied Mathematics textbook series. They provide hands-on experience with key mathematical and computational concepts, connecting theory to practical, real-world applications.

Note for public users: If you are not an enrolled ACME student, please see the Public Use page for information on setup, access, and usage guidelines.

Modeling population dynamics with SIR and predator-prey models

Using information theory to beat the NYT game Wordle

Creating and training machine learning models using several methods

Compressing images with matrix decompositions and wavelets

Denoising images using matrix decompositions and calculus of variations

Cleaning and filtering sound files using Fourier transforms and convolutions

Optimizing meal plans on a budget with linear programming

In these labs, you will solve problems such as:

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