A blog project started by Cameron Michie and Alexander Cheetham.
Its core purpose is to produce long-form articles on mathematical and technical topics, with a focus on generating data to create interesting visuals.
The emergent properties of predator prey systems, analysed computationally through reaction-diffusion systems and agent based models.
An exploration of inline snapshot testing in Python using ExpectTest, moving away from brittle assertions towards a more joyful and maintainable testing workflow inspired by Jane Street.
Recreating the DBBA agent-based BTC-GBP market model with chartists, noise traders, and a limit order book that reproduces key stylised facts.
Multi-layer network analysis of Microsoft and its investors to guide DBBA Capital's portfolio strategy.
A summary of my experience switching to NixOS and using Nix for project package management.
A showcase and explanation of my own WFC implementation for generating video game maps and discussion of potential further improvements.
An investigation into NeuroEvolution of Augmenting Topologies (NEAT) and its ability to solve reinforcement learning situations with fitness and novelty based fitness functions.
An investigation into Physics Informed Neural Networks and their ability to solve forward/inverse problems with PDEs.
