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SKU/Artículo: AMZ-B0DLX1FK3G

Basic Economics: With Python (Richman Computational Economics)

Format:

Paperback

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
0.77 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

Unlock the world of economics with this comprehensive guide that marries theory with practical coding applications. Whether you're a student, educator, or enthusiast, this book provides deep insights into both foundational and advanced economic concepts, all brought to life with Python code examples.Key Features:A thorough exploration of economic principles and modelsStep-by-step Python code integrated with explanations for real-world applicationDesigned for learners at various levels to apply economics in computational settingsExpanded learning opportunities with 66 chapters of economics conceptsBook Description:Delve into the expansive world of economics with this insightful book that merges traditional economic theories with modern computational tools. Gain an understanding of intricate economic models and concepts, transformed into practical Python code to improve analytical skills and enhance real-world problem-solving abilities.What You Will Learn:Master the Equilibrium Analysis using supply and demand curves in Python.Calculate Price Elasticity of Demand and its impact on quantity demanded.Analyze Cross-Price Elasticity to understand the relationship between two goods.Examine the effects of Income Elasticity on consumer behavior.Explore Price Elasticity of Supply to determine producer responses.Utilize Python to compute Marginal and Total Utility for consumer satisfaction analysis.Apply the Budget Constraint Equation for optimal consumer choices.Interpret Indifference Curves for in-depth consumer preference insights.Implement the Cobb-Douglas Production Function in computational simulations.Understand cost dynamics with Marginal and Average Cost calculations.Achieve Profit Maximization by aligning marginal revenue with marginal cost.Develop strategies for Total Revenue Calculation with Python algorithms.Conduct a Break-even Analysis to assess business viability.Measure Consumer Surplus and capture the benefits under the demand curve.Assess Producer Surplus to gauge producer benefits over supply curves.Investigate the Deadweight Loss in monopolistic settings.Analyze market structures using the Perfect Competition Model.Compute monopoly prices with the Monopoly Pricing Formula.Navigate Monopolistic Competition Equilibrium for market differentiation.Explore Game Theory strategies with Python-based payoff matrices.Identify stable outcomes using Nash Equilibrium computations.Evaluate economic health through Gross Domestic Product (GDP) Calculation.Calculate price level changes with the GDP Deflator formula.Measure inflationary trends with the Consumer Price Index (CPI).Determine economic inflation by calculating the Inflation Rate.Assess labor market conditions with Unemployment Rate calculations.Model economic scenarios using the Aggregate Demand and Supply Model.Analyze macroeconomic factors using the IS-LM Model Equations.Measure fiscal policy impact using the Fiscal Multiplier Effect.Explore money supply changes with the Money Multiplier.Investigate the relationship between money supply and prices with Quantity Theory of Money.Compartmentalize inflation and unemployment through the Phillips Curve.

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