Python STEM Essentials

Rigorous introduction to numerical python libraries, interpolating data, curve fitting, solving differential equations

Created by: Luke Polson
PhD Candidate

What Will I Learn?

• python libraries for scientific analysis
• numerical integration, interpolation of data, curve fitting, differential equations
• how to calibrate a photon detector used for medical imaging
• how to solve biological equations governing populations of various species

Requirements

• Basic Python Programming Experience (i.e. understand for loops, if statements, functions)
• Basic Mathematical Knowledge (i.e. calculus, basic statistics)

Target audience

• Undergraduate students just getting into research
• Graduate students that want to use python as their primary language for research
• Engineers looking to use python to analyze data