Pythonomics: coding strategies to python in economics: A Comprehensive guide to the application of python programming in economics
Embark on a transformative journey through the dynamic world of economics, guided by the power of Python, with "Pyt
175 89 1MB
English Pages 660 Year 2023
Table of contents :
Title Page
Contents
Chapter 1: Introduction to Python and Economics
Chapter 2: Data Structures for Economic Analysis
Chapter 3: Data Wrangling for Economic Datasets
Chapter 4: Exploratory Data Analysis in Economics
Chapter 5: Statistical Foundations for Econometrics in Python
Chapter 6: Econometric Modelling with Python
Chapter 7: Python in Financial Economics
Chapter 8: Machine Learning for Economic Forecasting
Chapter 9: Behavioral Economics and Python
Chapter 10: Computational Economics with Python
Chapter 11: Advanced Econometric Techniques with Python
Chapter 12: Python for Microeconomic Analysis
Chapter 13: Python for Macroeconomic Analysis
Chapter 14: International Economics and Trade with Python
Chapter 15: Public Sector Economics and Python
Chapter 16: Labor Economics and Python
Chapter 17: Environmental Economics and Sustainability with Python
Chapter 18: Health Economics and Python
Chapter 19: Education Economics and Python
Chapter 20: Conclusion
Additional Resources
Title Page
Contents
Chapter 1: Introduction to Python and Economics
Chapter 2: Data Structures for Economic Analysis
Chapter 3: Data Wrangling for Economic Datasets
Chapter 4: Exploratory Data Analysis in Economics
Chapter 5: Statistical Foundations for Econometrics in Python
Chapter 6: Econometric Modelling with Python
Chapter 7: Python in Financial Economics
Chapter 8: Machine Learning for Economic Forecasting
Chapter 9: Behavioral Economics and Python
Chapter 10: Computational Economics with Python
Chapter 11: Advanced Econometric Techniques with Python
Chapter 12: Python for Microeconomic Analysis
Chapter 13: Python for Macroeconomic Analysis
Chapter 14: International Economics and Trade with Python
Chapter 15: Public Sector Economics and Python
Chapter 16: Labor Economics and Python
Chapter 17: Environmental Economics and Sustainability with Python
Chapter 18: Health Economics and Python
Chapter 19: Education Economics and Python
Chapter 20: Conclusion
Additional Resources
