Scientific Python

How do you turn a textbook flocking model into a simulation that scales to tens of thousands of agents and renders like a fluid? This case study walks through the boids algorithm, four progressively faster solver backends benchmarked side by side (up to about 330 times faster than naïve Python), and a GPU visualization engine built with ModernGL.

How do you design an airfoil that performs well throughout an entire flight? This case study showcases a Python toolkit that explores thousands of candidate geometries and leverages evolutionary optimization to uncover the most effective aerodynamic trade-offs between lift and drag.

A full-stack scientific web app that derives the dimensionless groups governing a physical problem with the Vaschy–Buckingham (Π) theorem. The real Python + SymPy engine runs entirely in the browser via WebAssembly.