Scientific Programming with Python

The goal of these lessons is to introduce programming for undergraduates in MAE3145. The focus is simultaneously:

1. Gain some skills with Python
2. Learn best practices for writing/debugging/testing code for engineering courses/applications.

This is not a comprehensive introduction to Python, but rather covers most of the critical skills needed by students in engineering courses. It is based on much of my experience/notes from Astro 201/321 at USAFA, as well as the experiences since then in graduate school/Air Force Research Laboratory.

Lessons

• Introduction
• Installation
• Variables
• Functions
• Code Structure
• [Input/Output][ 4 ]
• Documentation
• Debugging
• Algorithms
• Ipython
• Newton's Method
• Loops
• Plotting
• Testing
• Validating Code

Other Good resources

• Python Tutorial
• SciPy Lecture Notes
• Numpy for Matlab users
• Scipy Tutorials
• Plotting Tutorial