15 Best Free Python eBooks 

"Python Cookbook" by David Beazley and Brian K. Jones - This book provides a plethora of Python recipes for solving common problems.

"Automate the Boring Stuff with Python" by Al Sweigart - Great for beginners, this book teaches Python programming through practical, real-world examples.

"Think Python: How to Think Like a Computer Scientist" by Allen B. Downey - A comprehensive introduction to Python programming for beginners.

"Dive into Python 3" by Mark Pilgrim - This book is a hands-on guide to Python 3 and covers various aspects of the language in depth.

"Python for Everybody" by Charles Severance - A beginner-friendly book that introduces Python programming for those with little to no prior experience.

"A Byte of Python" by Swaroop C H - A concise and beginner-friendly introduction to Python programming.

"Python Programming: An Introduction to Computer Science" by John Zelle - This book teaches Python programming with an emphasis on computer science concepts.

"Problem Solving with Algorithms and Data Structures using Python" by Bradley N. Miller and David L. Ranum - A book that combines Python programming with algorithmic problem-solving techniques.

"Invent Your Own Computer Games with Python" by Al Sweigart - A fun and interactive way to learn Python programming through game development.

"Python 101" by Michael Driscoll - An introductory book that covers the basics of Python programming.

"Python for Data Science Handbook" by Jake VanderPlas - A comprehensive guide to using Python for data science, covering topics such as data manipulation, visualization, and machine learning.

"Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper - This book introduces natural language processing (NLP) techniques using Python.

"Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili - A comprehensive guide to machine learning and data analysis using Python.

"Mining the Social Web" by Matthew A. Russell - This book teaches how to use Python for extracting and analyzing data from social media platforms and other online sources.

"Fluent Python" by Luciano Ramalho - While not entirely free, the first chapter of this book is available for free and provides valuable insights into writing Pythonic code.