No AI Needed: Developer Builds Complete Game Theory Solver in Python

This project bridges computer science and economic game theory by implementing Nash Equilibrium calculations through support enumeration and linear programming—all built from first principles without AI assistance. For developers interested in applied mathematics and algorithmic problem-solving, it demonstrates the feasibility of mastering complex interdisciplinary concepts through deliberate, hands-on coding. The open-source availability makes this a valuable resource for anyone exploring the intersection of game theory and practical software implementation.