Example for 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/aus...
All course material can be found here - github.com/aus...
The lecture in this video was delivered at the University of South Carolina in 2024.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License[ccby-sa 4.0]. More information on the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license can be found at creativecommon.... Unless otherwise denoted, all text, figures, diagrams, and photos used in this work are the sole property of the authors and are released under CC BY-SA 4.0 both in part and in whole. Reworks and redistributions of this work that fall within the CC BY-SA 4.0 licenses are encouraged.
5 окт 2024