Learn how to implement Python in the context of mechanical and aerospace engineering.

Python for Scientists and Engineers

In this module, we'll learn about the Python programming language in the context of mechanical and aerospace engineering. We'll learn how to plot airfoil coordinates and graph thrust available, thrust required, and dynamic pressure. Moreover, we’ll get a firm overview of orbital parameters and how to model both 2D and 3D static orbits. By the end of this module, we'll have a good knowledge of how Python works in the fields of mechanical and 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.

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

Conclusion

Conclusion for Advanced Modeling