The Quick Python Book, Fourth Edition (Final Release)

A fast-paced introduction to Python for intermediate developers–now with coverage of generative AI!

For over 25 years, The Quick Python Book has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python's comprehensive standard library and unique features in depth and detail. In this fourth edition, you’ll find new coverage of AI coding tools like Copilot and Google's Colaboratory (Colab), and develop a mindset that can make the most of AI.

The Quick Python Book, Fourth Edition includes
Python syntax, data structures, and best practices
Python as an object oriented language
Common Python libraries
Basic data handling with Python
Using AI code generation tools with Python

Whether you’re new to Python or looking to advance your basic skills, The Quick Python Book, Fourth Edition will get you writing effective Python code fast. Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder has returned to author this extensively revised fourth edition. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task.

About the Technology
System automation. High-performance web apps. Cloud and back-end services. Cutting edge AI. No matter what you’re building, it pays to know how to read and write Python! The Quick Python Book has helped over 100,000 developers get up to speed with the Python programming language. This revised Fourth Edition, fully updated for Python 3.13, explores the latest features and libraries and shows you how to code smarter with AI tools like ChatGPT.

About the Book
The Quick Python Book, Fourth Edition teaches you the essential Python features and techniques you need for most common scripting, application programming, and data science tasks. Written for developers comfortable with another programming language, it dives right into the good stuff. New interactive notebooks, quick-check questions, and end-of-chapter labs all help practice and consolidate your new skills. Plus, you’ll find practical advice on writing prompts and using AI assistants to accelerate your day-to-day work.

What's Inside
Python syntax, data structures, and best practices
Object-oriented Python
Must-know Python libraries
Data handling