Python Data Analysis with Pandas [2026] is a practical guide for beginners, students, developers, and aspiring data analysts who want to learn how to work with data using Python and Pandas.

Starting with the fundamentals, this book explains how to create and work with DataFrames and Series, import and export datasets, clean messy data, handle missing values, filter and transform information, group and aggregate datasets, merge multiple data sources, and work with dates and time-series data.

You will learn through practical explanations and Python examples that can be applied to real-world datasets. The book focuses on building useful data-analysis skills step by step without unnecessary complexity.

What you'll learn:

Python and Pandas fundamentals
Series and DataFrames
Importing and exporting data
Data inspection and exploration
Data cleaning and preparation
Missing-value handling
Filtering and transforming data
Grouping and aggregation
Merging and combining datasets