Chapman and Hall/CRC Tidy Finance with Python - Chapman and Hall/CRC Textbook

Bridge the gap between theoretical finance and practical data analysis with Tidy Finance with Python. Part of the Chapman and Hall/CRC The Python Series, this textbook provides a practical guide to conducting empirical finance research from the ground up. By focusing on coding and data analysis, the book teaches you how to apply econometric concepts directly to real-world datasets. You will learn to implement tidy data principles and coding standards using essential Python libraries such as pandas, numpy, and plotnine. This resource covers the preparation of common financial data sources, including CRSP, Compustat, Mergent FISD, and TRACE. It demonstrates how to organize these sources into a database for consistent use throughout the text. Each chapter is designed to be as self-contained as possible, making it an effective tool for students and professionals looking to master empirical finance through Python-based research.