The Best Python Books for All Skill Levels

The Python language is ideal for coding software, creating websites, and for general server-side scripting. It is an amazing complete language and is often a preferred language for developers.

Getting into Python doesn't have to be a challenge and if you use the right books it can even be fun! That is why I have created this great and massive list of the best Python books to help you go from novice to expert developer with ease.

• +20 Python Libraries You Aren’t Using (But Should) (email address requested, not required)
• A Beginner’s Python Tutorial – Wikibooks
• A Byte of Python (3.x) (HTML, PDF, EPUB, Mobi)
• A Guide to Python’s Magic Methods – Rafe Kettler
• A Whirlwind Tour of Python – Jake VanderPlas (PDF) (EPUB, MOBI)
• Automate the Boring Stuff – Al Sweigart
• Biopython (PDF)
• Build applications in Python the antitextbook (3.x) (HTML, PDF, EPUB, Mobi)
• Building Machine Learning Systems with Python – Willi Richert & Luis Pedro Coelho, Packt. (email address requested, not required)
• Building Skills in Object-Oriented Design (Python) (PDF) (2.1.1)
• Building Skills in Python (PDF) (2.6)
• Code Like a Pythonista: Idiomatic Python
• CodeCademy Python
• Composing Programs (3.x)
• Data Structures and Algorithms in Python – B. R. Preiss (PDF)
• Dive into Python 3 – Mark Pilgrim (3.0)
• Dive into Python – Mark Pilgrim (2.3)
• From Python to NumPy
• Full Stack Python
• Functional Programming in Python (email address requested, not required)
• Fundamentals of Python Programming – Richard L. Halterman (PDF) (3.2)
• Google’s Python Class (2.4 – 2.x)
• Google’s Python Style Guide
• Hacking Secret Cyphers with Python – Al Sweigart (3.3)
• Hadoop with Python (email address requested, not required)
• High Performance Python (PDF)
• Hitchhiker’s Guide to Python! (2.6)
• How to Make Mistakes in Python – Mike Pirnat (PDF) (1st edition)
• How to Think Like a Computer Scientist: Learning with Python, Interactive Edition (3.2)
• How to Think Like a Computer Scientist: Learning with Python – Allen B. Downey, Jeff Elkner and Chris Meyers (2.4)
• Think Python – Allen B. Downey (2.x & 3.0)
• Intermediate Python – Muhammad Yasoob Ullah Khalid (1st edition)
• Introduction to Programming with Python (3.3)
• Introduction to Programming Using Python – Cody Jackson (1st edition) (2.3)
• Introduction to Python – Kracekumar (2.7.3)
• Invent Your Own Computer Games With Python – Al Sweigart (3.1)
• Learn Python, Break Python
• Learn Python in Y minutes
• Learn Python The Hard Way (2.5 – 2.6)
• Learn to Program Using Python – Cody Jackson (PDF)
• Learning Python – Fabrizio Romano, Packt. (email address requested, not required)
• Learning to Program
• Lectures on scientific computing with python – J.R. Johansson (2.7)
• Making Games with Python & Pygame – Al Sweigart (2.7)
• Math for programmers (using python)
• Modeling Creativity: Case Studies in Python – Tom D. De Smedt (PDF)
• Natural Language Processing with Python (3.x)
• Non-Programmer’s Tutorial for Python 3 – Wikibooks (3.3)
• Non-Programmer’s Tutorial for Python 2.6 – Wikibooks (2.6)
• Picking a Python Version: A Manifesto (email address requested, not required)
• Porting to Python 3: An In-Depth Guide (2.6 – 2.x & 3.1 – 3.x)
• Practical Programming in Python – Jeffrey Elkner (PDF)
• Problem Solving with Algorithms and Data Structures using Python – Bradley N. Miller and David L. Ranum
• Program Arcade Games With Python And Pygame (3.3)
• Programming Computer Vision with Python (PDF)
• Python 2 Official Documentation (PDF, HTML, TEXT) (2.x)
• Python 2.7 quick reference – New Mexico Tech (2.7)
• Python 3 Official Documentation (PDF, EPUB, HTML, TEXT) (3.x)
• Python 3 Tutorial
• Python Cookbook – David Beazley
• Python Data Science Handbook – Jake VanderPlas (HTML, Jupyter Notebooks)
• Python for Everybody Exploring Data Using Python 3 – Charles Severance (PDF, EPUB, HTML)
• Python for Informatics: Exploring Information (2.7.5)
• Python for you and me (2.7.3)
• Python for you and me (3.x)
• Python Idioms (PDF)
• Python in Education (email address requested, not required)
• Python in Hydrology – Sat Kumar Tomer
• Python Koans (2.7 or 3.x)
• Python Module of the Week (3.x)
• Python Module of the Week (2.x)
• Python Notes for Professionals – Compiled from StackOverflow documentation (3.x)
• Python Practice Book (2.7.1)
• Python Practice Projects
• Python Programming – Wikibooks (2.7)
• Python Programming – Wikibooks (PDF) (2.6)
• Scipy Lecture Notes
• SICP in Python (3.2)
• Snake Wrangling For Kids (3.x)
• Suporting Python 3: An In-Depth Guide (2.6 – 2.x & 3.1 – 3.x)
• Test-Driven Web Development with Python – Harry Percival (3.3 – 3.x)
• Text Processing in Python – David Mertz (2.3 – 2.x)
• The Coder’s Apprentice: Learning Programming with Python 3 – Pieter Spronck (PDF) (3.x)
• The Definitive Guide to Jython, Python for the Java Platform – Josh Juneau, Jim Baker, Victor Ng, Leo Soto, Frank Wierzbicki (2.5)
• The Little Book of Python Anti-Patterns (Source)
• The Programming Historian – William J. Turkel, Adam Crymble and Alan MacEachern
• The Python Ecosystem: An Introduction
• The Python GTK+ 3 Tutorial
• The Standard Python Library – Fredrik Lundh
• Think Complexity – Allen B. Downey (2nd Edition) (PDF, HTML)
• T/ny Python 3.6 Notebook – Matt Harrison (3.6)
• Web2py: Complete Reference Manual, 6th Edition (pre-release) (2.5 – 2.x)