Name		Name	Last commit message	Last commit date
parent directory ..
01 - Optimization and Math		01 - Optimization and Math
02 - Design Optimization		02 - Design Optimization
03 - Trajectory Optimization and Optimal Control		03 - Trajectory Optimization and Optimal Control
04 - Geometry and Data Structures		04 - Geometry and Data Structures
05 - Surrogate Modeling		05 - Surrogate Modeling
06 - Aerodynamics		06 - Aerodynamics
10 - Miscellaneous		10 - Miscellaneous
Old Tutorials, to be refactored - Ignore for Now		Old Tutorials, to be refactored - Ignore for Now
README.md		README.md
sharpe-pds-sm-AeroAstro-2021-thesis.pdf		sharpe-pds-sm-AeroAstro-2021-thesis.pdf

README.md

AeroSandbox Tutorial

Welcome to the AeroSandbox tutorial!

tl;dr: the first tutorial section is available here.

Here's how this works:

Read through the folders and files in ascending order. Upon opening any folder, be sure to read the README.md in the folder, if it exists.
Every tutorial subsection is a Jupyter Notebook. You can either:
- View them on GitHub non-interactively (easiest)
- View them on your computer interactively (recommended). If you're new to Jupyter notebooks, follow this tutorial here.
Each tutorial file is designed to take ~5 minutes to read through and will introduce you to several new features.
Many of the Markdown files (such as the README.md files) use inline LaTeX to represent mathematical equations. Your viewing experience will be greatly improved if you get a modern Markdown editor like Typora (once you get Typora, be sure to turn on "Inline LaTeX" in Preferences). PyCharm and VSCode will also render Markdown well. Side note: If you're a scientist unfamiliar with Markdown with a modern editor, you're in for a real treat - download Typora and have your mind blown!

Happy reading!