Best Python Books

Learn how to write programs that can automate tedious tasks in minutes instead of hours with the second edition of this Python book. Whether you're a liberal arts major or a geek, you'll find the skills to easily automate file renaming, data scraping, PDF editing, and more using Python 3. No prior coding experience is necessary, and step-by-step instructions and practice projects throughout the book will teach you how to put your newfound skills to use. Say goodbye to drudgery and hello to efficiency with this international bestseller.

This hands-on book provides a comprehensive and in-depth introduction to Python. Whether you're new to programming or a professional developer, you'll quickly learn to write efficient, high-quality code with Python. Complete with quizzes, exercises, and illustrations, this self-paced tutorial covers both Python 2.7 and 3.3, as well as advanced language features commonly used in Python code. Discover Python's built-in object types, learn its general syntax model, package code for reuse, dive into classes, and more. From exception handling to Unicode processing, this book has it all.

Learn Python 3 with the best system out there! In this book, you'll work through 52 exercises to learn basic mathematics, variables, looping and logic, and more. The author, Zed Shaw, will teach you how a computer works and the fundamentals of coding. You'll be able to install a complete Python environment, organize and write code, and work with users. Plus, you'll learn 5+ hours of additional content through video lessons where the author shows you how to fix, break, and debug your code. By the end, you'll know one of the world's most powerful programming languages and be able to develop basic games and websites. This book is perfect for beginners, junior developers, and seasoned professionals looking for a Python crash course.

This cookbook is a must-have for experienced Python programmers looking to focus on modern tools and idioms. It contains practical recipes for more than a dozen topics including data structures and algorithms, strings and text, network and web programming, and more. Each recipe includes code samples you can use right away and a discussion about how and why the solution works. Perfect for updating older code or writing new programs in Python 3.

Master a truly "Pythonic" approach to programming with Effective Python. This second edition is updated and expanded for Python 3, and offers 90 best practices, tips, and shortcuts for harnessing Python's full power. Author Brett Slatkin, who has experience building Python infrastructure at Google, uncovers little-known quirks and idioms that impact code behavior and performance. This book will help you write robust and well-performing code that's easier to understand, maintain, and improve. You'll learn best practices for all major areas of Python, with realistic code examples and guidance on avoiding pitfalls. Effective Python is a must-read for any programmer looking to make a big impact with Python.

Master Python basics and beyond with Head First Python. Discover built-in data structures, functions, and delve into webapp creation, database management, exception handling, and data wrangling. Context managers, decorators, comprehensions, and generators are all covered in this book. Reinforced with cutting-edge research in learning theory and cognitive science, this second edition is designed to engage your mind with a visually rich format. With Head First Python, become a certified Python programmer in no time.

Learn practical ways to build your own machine learning solutions using Python with this book! Perfect for beginners, authors Andreas Müller and Sarah Guido will guide you through the process of creating successful machine-learning applications with the scikit-learn library. You'll discover how to use machine learning algorithms and focus on the practical aspects of the process. Don't wait to unlock the full potential of machine learning with Python!

An essential guide for anyone looking to manipulate, clean, and analyze structured data using Python. This second edition introduces practical case studies and covers important libraries like NumPy and pandas, offering helpful tips for beginners and experienced programmers alike. Written by the creator of the pandas library, this book is a must-read for anyone involved in data-intensive applications with Python.