Python for Engineering Problem Solving - Part 3 - Core Packages for Engineering Problem-Solving 

Part 3 of Introduction to Python for Engineering Problem Solving. A lecture delivered by Austin Downey.
A simple introduction to Python for engineering students; introduces the use of Anaconda for problem-solving in engineering. This provides a compare-and-contrast to Matlab. This course is centered around a vibrating beam example designed to quickly get students plotting and analyzing data using NumPy, SciPy, and Matplotlib. This final product is a spectrogram of a vibrating beam that experiences a mass drop.
The dataset can be directly downloaded from this GitHub link by pressing the download button (arrow pointing down towards a tray icon) - github.com/austindowney/Intro...
All course material can be found here - github.com/austindowney/Intro...
The lecture in this video was delivered at the University of South Carolina in 2024.
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