Foundations of Computational Economics with Python: Modeling Markets, Consumer Behavior, and Economic Systems Using Code (Quantitative Economics & Python Series)

Reactive PublishingFoundations of Computational Economics with Python introduces the essential techniques required to simulate, analyze, and understand economic systems using modern computational tools. Designed for economists, analysts, students, and researchers, this volume provides a rigorous yet accessible entry point into the world of code-driven economic modeling.The book teaches readers how to translate economic theory into executable Python models—bridging intuition, mathematics, and simulation. Beginning with the fundamentals of microeconomic behavior, readers progress through equilibrium modeling, optimization methods, dynamic systems, and agent-based simulations, gaining the skills necessary to construct and analyze economic environments from the ground up.Through clear explanations and fully worked Python examples, readers will learn how to:• Model supply, demand, and competitive markets using computational methods• Analyze consumer choice, utility maximization, and firm decision-making• Explore how equilibria emerge and shift under different market conditions• Implement optimization routines to solve microeconomic problems• Simulate heterogeneous agents, strategic behavior, and market interactions• Build reproducible, data-driven economic experiments using Python’s scientific stackThis foundational text establishes the conceptual and technical base for further study in econometrics, forecasting, and macroeconomic simulation. Whether used for academic coursework, research, or professional analysis, Foundations of Computational Economics with Python equips readers with a modern toolkit for understanding and experimenting with economic systems in a computational world.Part of the Quantitative Economics & Python Series, this volume sets the stage for advanced modeling, forecasting, and policy simulation explored in later books. Read more