Harness the power of Python to master economics, model complexity, and build intelligent analytical tools.
Pythonomics is your hands-on guide to building powerful, real-world economic simulations, financial models, and predictive analytics using Python. Whether you're an economist, data scientist, or programmer, this book bridges the gap between theory and execution-arming you with code-first solutions for macroeconomics, microeconomics, game theory, behavioral economics, and more.
Inside, you'll learn how to:
Construct dynamic economic models with NumPy and pandas
Simulate markets, supply chains, and pricing behavior
Analyze economic data with machine learning and statistical inference
Build agent-based models and game simulations
Visualize complex systems with Matplotlib and Plotly
Apply real-time economic forecasting using Python libraries
Designed for professionals and advanced learners, Pythonomics gives you the toolkit to go beyond spreadsheets and unlock a scalable, programmable approach to economic insight.