Gain insights into using Python for mechanical and aerospace engineering. Learn about basics, graphing techniques, airfoil plotting, and dynamic pressure and orbital modeling in 2D and 3D.

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Python tkinter

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In this course, you will learn about the Python programming language in the context of mechanical and aerospace engineering. 

You will start with the basics of Python, like variables, collections, and different types of loops. Once you have the basics out of the way, the real fun begins. You will learn how to: graph thrust available and thrust required, graph dynamic pressure during a rocket launch, and how to plot airfoil coordinates. 

Towards the end, you will get a strong overview of orbital parameters and learn how to model both 2D and 3D static orbits. Once you’ve completed this course, you will have a better understanding of Python and how it works in the context of mechanical/aerospace engineering.

Python for Mechanical and Aerospace Engineering

Using `Numpy` gives Python the full array implementation that it is so frequently accused of lacking. With `Numpy`, `Pillow`, and `Tkinter`, you were able to loop over a frame height, create individual frame arrays, and display them in a standalone GUI. The implementation requires complex conic section knowledge to make the arrays, but this program easily could have used shapes to accomplish the same result. 

This chapter shows how you can perform advanced calculation, modeling, and simulation in Python. Though it glosses over some of the complex subjects, `Numpy` and `Tkinter` can be used to demonstrate advanced concepts in otherwise simple programs.
 



Concluding remarks for advanced usage of Numpy and Tkinter for modeling.

Getting Comfortable with Python

FizzBuzz

Graphing Thrust Available and Thrust Required

Graphing Dynamic Pressure During a Rocket Launch

Getting and Plotting Airfoil Coordinates

Modeling a 2-Body Orbit in 2D and 3D

Unit Conversions

Introduction to Web Scraping

Modeling Camera Shutter Effect

Writing Reports with Pweave

The End

Conclusion for Advanced Modeling