Python for Data Analysis 3rd edition by McKinney

Python for Data Analysis, 3rd Edition by Wes McKinney is a practical guide to working with data in Python using pandas, NumPy, and related tools. Published by O’Reilly, the text focuses on cleaning, transforming, aggregating, visualizing, and analyzing structured data with efficient, real-world techniques. Readers learn how to handle time series, missing data, grouping operations, file formats, and exploratory workflows common in data science and analytics. Written by the creator of pandas, this edition is especially useful for students, analysts, and programmers who need a strong foundation in Python-based data analysis.