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Python for Engineering Problem Solving - Part 2 - Introduction to Data Types in Python 

ARTS-Lab at the University of South Carolina
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Part 2 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.
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 creativecommons.org/licenses/.... 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.

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21 июн 2024

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