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50+ Free Python Books for Beginners And Advanced Developers

Table Of Contents

Python is an amazing programming language. It can be applied to almost any programming task, allows for rapid development and debugging, and brings the support of what is arguably the most welcoming user community. Every Programmer loves free eBook and free courses, even more, if it comes from renowned technical book publishers like O’Reilly, Grean Tea Press, No Starch Press or Manning. In this article, we’ll cover 50+ free python books for beginners, intermediate and advanced python programmers.

Note: The books given below are listed in a mix order.

What Are Some The Best Free Python PDF For Newbies, Intermediate And Advanced Python Programmers? (Our Top Picks)

  • Automate the Boring Stuff with Python: Practical Programming for Total Beginners
  • Tiny Python Projects: 21 Small Fun Projects for Python Beginners
  • Beginner’s Python Cheat Sheets
  • Beyond the Basic Stuff with Python
  • Python Notes for Professionals
  • Advanced Python Tips
  • Python 3 For Non Programmers
  • Learn Python 3: The Hard Way

Python Books for Beginners, Intermediate And Advanced Programmers are as follows

Free Python Programming Books

1. Automate the Boring Stuff with Python: Practical Programming for Total Beginners

It is by a big difference one of the most practical books about Python programming that we have found, along with Python Crash Course. You’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand and once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation.

2. Think Python PDF

As the title says, the goal of this book is to teach you how coders think about coding, and it does a good job of it. Compared to the other books, it’s drier and organized in a more linear way. The book focuses on everything you need to know about basic Python programming, in a very straightforward, clear, and comprehensive way.

3. Python for Everybody PDF

Python for Everybody book is designed to introduce students to programming and software development through the lens of exploring data. Learn Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Python is easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers.

4. Think Bayes, 2nd Edition

If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you’ll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems.

5. Full Stack Python

Full Stack Python is an open source book that explains technical concepts in plain language. This guide branches out on topic because your learning requirements depend on what you’re working on. Choose a topic as per your requirement and start learning.

On this website, you can learn python for any field i.e. for web development, data science, web app development and more.

6. The Python Handbook PDF

This book does not try to cover everything under the sun related to Python. It focuses on the core of the language, trying to simplify the more complex topics. Topics covered in this book are Introduction to Python, How to Install Python, How to Run Python Programs, Python 2 vs Python 3, Python Basics, Data Types in Python, Operators in Python, The Ternary Operator in Python, List Comprehensions in Python, Polymorphism in Python, Operator Overloading in Python, Virtual Environments in Python and more.

7. Learn Python, Break Python: A Beginner’s Guide to Programming

This book is a hands-on introduction to the Python programming language, written for people who have no experience with programming whatsoever.

Learn Python, Break Python starts with a gentle introduction to programming. By building up knowledge in this way, we hope to impart a level of comfort that will make you comfortable trying new things and taking risks; in short, we want you to be comfortable with programming.

8. Tiny Python Projects: 21 Small Fun Projects for Python Beginners Designed to Build Programming Skill, Teach New Algorithms and Techniques, and Introduce Software Testing PDF

The 21 fun-but-powerful activities in this book will teach you Python fundamentals through puzzles and games. You’ll be engaged and entertained with every exercise, as you learn about text manipulation, basic algorithms, and lists and dictionaries, and other foundational programming skills. Gain confidence and experience while you create each satisfying project.

9. Beginner’s Python Cheat Sheets PDF

Beginner’s Python Cheat Sheets are more than just reminders of syntax. When you’re learning a programming language, especially for the first time, it’s helpful to have concise summaries of the concepts you’re learning as well as the actual syntax. These cheat sheets have short descriptions of each major concept, concise explanations of how and why we use them, and short code snippets that show the relevant syntax.

10. Learn Python 3 the Hard Way

The book is constructed as a series of over fifty exercises, each building on the previous, and each teaching you some new feature of the language. Starting from Exercise 0, getting Python set up on your computer, you begin writing simple programs. You learn about variables, data types, functions, logic, loops, lists, debugging, dictionaries, object-oriented programming, inheritance, and packaging. You even create a simple game using a game engine.

This Book Is Perfect For:

  • Total beginners with zero programming experience
  • Junior developers who know one or two languages
  • Returning professionals who haven’t written code in years
  • Seasoned professionals looking for a fast, simple, crash course in Python 3

11. Essential Copying and Pasting from Stack Overflow PDF

This anonymously published manual (although rumor is the mysterious hands of Vinit Nayak are behind this masterpiece) is the quintessence of software development techniques. Mastering this art will not only make you the most desired developer in the market, but it will transform the craziest deadline into “Consider it done, Sir”.

12. The Hitchhiker’s Guide to Python: Best Practices for Development

The Hitchhiker’s Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity—and possibly dilution.

13. Beyond the Basic Stuff with Python

In this book, Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program–not just in Python but in any language.

14. 100 Page Python Intro

If you are already familiar with basic programming concepts then this eBook is for you. This book is a short, introductory guide for the Python programming language. This book is well suited:

  • As a reference material for Python beginner workshops
  • If you have prior experience with another programming language
  • If you want a complement resource after reading a Python basics book, watching a video course, etc.
  • In this free python books list, this eBook is considered as one of the best free python books for beginners.

15. Invent Your Own Computer Games with Python

If games are your thing, or you even have a game idea of your own, this would be the perfect book to learn Python. In this book, you learn the fundamentals of programming and Python with the application exercises focused on building classic games.

Starting with an introduction to the Python shell and the REPL loop, followed by a basic “Hello, World!” script, you dive right into making a basic number-guessing game, covering random numbers, flow control, type conversion, and Boolean data.

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16. Learning with Python: How to think like a Computer Scientist

Another crowd-pleaser, this online guide opens intending to teach the reader exactly how to think like a computer scientist by using a combination of mathematics, natural science and engineering.

17. Cracking Codes with Python

You’ll begin with simple programs for the reverse and Caesar ciphers and then work your way up to public key cryptography, the type of encryption used to secure today’s online transactions, including digital signatures, email, and Bitcoin. Each program includes the full code and a line-by-line explanation of how things work. By the end of the book, you’ll have learned how to code in Python and you’ll have the clever programs to prove it!

There’s no better way to learn to code than to play with real programs. Cracking Codes with Python makes the learning fun!

18. Test-Driven Development with Python: Using Django, Selenium, And Javascript

By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques.

19. Full Speed Python PDF

This book aims to teach the Python programming language using a practical approach. Its method is quite simple: after a short introduction to each topic, the reader is invited to learn more by solving the proposed exercises.

20. Making Games with Python and PyGame PDF

This is a programming book that covers the Pygame game library for the Python programming language. Making Games with Python & Pygame covers the Pygame library with the source code for 11 games. Making Games was written as a sequel for the same age range as Invent with Python. Once you have an understanding of the basics of Python programming, you can now expand your abilities using the Pygame library to make games with graphics, animation, and sound.

21. A Byte of Python PDF

A Byte Of Python takes a light-hearted approach to the Python language. The book’s low learning curve and project-based code examples help the beginner code Python programs. The book will walk you through the development of code for solving practical problems such as backing up files. Through the process, the author walks you through program refinements that help expand your knowledge.

22. Python Notes for Professionals PDF

This book goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and constructs that build concise, maintainable code. Design better architecture and write easy-to-understand code using highly adoptable techniques that result in more robust and efficient applications. The Python Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. In this free python books list, this free pdf is considered as one of the best advanced python books you can try in 2022.

23. Think Complexity: Complexity Science and Computational Modeling PDF

This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science.

This book focuses on discrete models, which include graphs, cellular automata, and agent-based models. They are often characterized by structure, rules and transitions rather than by equations. They tend to be more abstract than continuous models; in some cases there is no direct correspondence between the model and a physical system.

24. How To Code in Python 3 PDF

An introduction to computer programming with Python 3. Helps the readers in learning the key concepts of Python and understanding how programs work while also imparting foundational logic that can serve the readers in other domains. This book is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.

25. Advanced Python Tips PDF

Learning a language is easy. Whenever we start with a new language, we focus on a few things like operations and loops common to every language, and it is a breeze to get started with writing code in any language. However, learning to write code in a language and writing a language in an optimized way are two different things.

26. Inside the Python Virtual Machine PDF

Inside the Python Virtual Machine provides a guided tour under the covers of the Python interpreter for the curious pythonista. It attempts to show the user what happens from the moment the user executes a piece of Python code to the point when the interpreter returns the result of executing the piece of code.

27. The Little Book of Python Anti-Patterns by Quantified Code PDF

Learning about these anti-patterns will help you to avoid them in your own code and make you a better programmer (hopefully). Each pattern comes with a small description, examples and possible solutions.

28. Code With Python Projects for Beginners, Intermediate and Experienced Programmers PDF

If you’re learning Python, you might have asked “what should I build?” This eBook is for you. In this book, you will walk through through 15+ projects using Python (and sometimes NodeJS). By the end, you’ll not only have significantly improved your Python skills, but you’ll also have some useful apps to use and put in your portfolio.

29. Non-Programmer’s Tutorial for Python 3

This book is a tutorial for the Python 3 programming language designed for someone with no programming experience. Starting from no programming knowledge, the book teaches how to create programs with examples, explanations and exercises.

30. Slither Into Python – An Introduction to Python for Beginners by Slither

Slither into Python is an introduction to Python for complete beginners. No prior programming experience or computer science background is necessary. Unlike any other Python resources the author has found (not that they’re not out there), they don’t explain important computer science concepts such as memory or “how computers work”. In this book the author will cover the fundamentals of the Python language and also introduce the other important concepts.

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31. Boxes: Your Second Python Book

To get the most benefit from this book the author expect the reader to have a basic knowledge of the Python programming language. Knowing and understanding the contents of the official Python Tutorial.

32. Python re(gex)? A Magical Tool for Text Processing

The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on.

33. Python Tips: Intermediate Python

There is a lack of documentation on what to learn after getting the basics of Python down your throat. Through this book the author aims to solve this problem. He will give you bits of information about some interesting topics which you can further explore. The topics which are discussed in this book open up your mind towards some nice corners of Python language.

If you are a beginner, intermediate or even an advanced programmer there is something for you in this book. Please note that this book is not a tutorial and does not teach you Python.

34. Python 3 Patterns, Recipes and Idioms

This book is aimed at more experienced Python programmers who are looking to deepen their understanding of the language and modern programming idioms. Much of the material focuses on some of the more advanced techniques used by libraries, frameworks, and applications.

The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe.

35. PySDR: A Guide to SDR and DSP using Python

This textbook acts as a hands-on introduction to the areas of DSP, SDR, and wireless communications. It is designed for someone who is:

  • Interested in using SDRs to do cool stuff
  • Good with Python
  • Relatively new to DSP, wireless communications, and SDR
  • A visual learner, preferring animations over equations
  • Better at understanding equations after learning the concepts
  • Looking for concise explanations, not a 1,000 page textbook

36. Python for Network Engineers

On the one hand, this book is basic enough to be mastered by anyone, and on the other hand, covers all the main topics that will allow you to further grow on your own. This book is not intended to be an in-depth look at Python. The purpose of this book is to explain the basics of Python in clear language and provide an understanding of the necessary tools for practical use. Everything in the book is focused on network equipment and interaction with it. This immediately makes it possible to use the knowledge gained in the daily work of network engineers.

37. Algorithmic Problem Solving with Python PDF

This book uses Python to introduce folks to programming and algorithmic thinking. It is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner.

38. Exploring Python Basics by Naomi Ceder

Exploring Python Basics is a collection of chapters from several different Manning books, blended together to give you a tour of everything Python. Hand-picked by Naomi Ceder, the founder of the Python Education Summit, these chapters will get you covering the basics of programming and the quirks and syntax of Python, coding with a Raspberry Pi, and even using Python to model your data to create accurate predictions! After you’re finished, you’ll have a real appreciation for Python, ready to continue your journey into this ever-useful language.

39. Python For You and Me

This is a simple book to learn Python programming language, it is for the programmers who are new to Python. This book shall introduce you to an easy way to learn Python and be able to complete your own projects! By reading the book and implementing what you learn herein, you will realize just why major institutions like NASA, Google, Mozilla, Yahoo, Dropbox, IBM, Facebook and many others prefer to use python in their core products, services and business processes.

40. Beej’s Guide to Python Programming – For Beginners PDF

Hey, everyone! Have you been thinking about learning to program? Have you also been thinking of how to do it in the easy-to-approach Python programming language? Yes? Then this is the book for you. The book will take you from start with the absolute basics and build up from there, building up to being an intermediate developer and problem-solver!

41. Object Oriented Programming with Python – Learn essentials of OOP with Python 3 PDF

This book is the simple and definitive guide to the Python 3 Object Oriented Programming. Other book of the similar genres make use of complicated writing style and examples to introduce the readers to the OOP in Python 3. However, this book uses Simple language to explain concepts. It is aimed at intermediate learners who already know Python.

42. Data Structures and Algorithms with Object-Oriented Design Patterns in Python

This book also illustrates object-oriented design and it promotes the use of common, object-oriented design patterns. The algorithms and data structures in the book are presented in the Python programming language. Virtually all the data structures are presented in the context of a single class hierarchy. This commitment to a single design allows the programs presented in the later chapters to build upon the programs presented in the earlier chapters.

43. From Python to Numpy

NumPy is one of the most important scientific computing libraries available for Python. This book teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts. Beginning with NumPy’s arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling.

44. Python 101

The first part is the beginner section. In it you will learn all the basics of Python. From Python types (strings, lists, dictionaries) to conditional statements to loops. You will also learn about comprehensions, functions and classes and everything in between!

45. Learn Python With No Programming Experience: Why, How, and When to Use Functions PDF

You’ll find the below given topics in the eBook

  • Discover why functions are needed in the first place
  • Help you grasp the concept of functions at a deep level
  • Grasp the difference between arguments and parameters
  • Learn to implement functions in a practical way
  • Be confident with how big or small your functions should be
  • Grasp the concepts of *args and **kwargs and more!

In this huge catalogue of 50+ python books, this is considered as one of the best free python books for beginners.

46. Think DSP Digital Signal Processing in Python PDF

The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. The author is writing this book because he thinks the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors.

47. Clean Architectures in Python – A practical approach to better software design PDF

To fully appreciate the book you need to know Python and be familiar with TDD, in particular with unit testing and mocks. After the two introductory parts that you are reading, chapter 1 goes through a 10,000 feet overview of a system designed with a clean architecture, while chapter 2 briefly discusses the components and the ideas behind this software architecture. Chapter 5 discusses error management and improvements to the Python code developed in the previous chapters.

48. Think Stats: Probability and Statistics for Programmers PDF

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

49. Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices

Architecture Patterns with Python is the bridge between those who know how to program in Python, and those who know who to develop professional software with it. The text guides you through high level software design patterns like hexagonal or clean architecture, event driven architecture, domain driven design, and test driven design in Python, using a ton of code and practical examples.

50. Programming Computer Vision with Python PDF

If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.

51. Natural Language Processing with Python

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you’ll learn how to write Python programs that work with large collections of unstructured text. You’ll access richly annotated datasets using a comprehensive range of linguistic data structures, and you’ll understand the main algorithms for analyzing the content and structure of written communication.

52. Problem Solving with Algorithms and Data Structures using Python PDF

This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum.

This book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. The book will cover abstract data types and data structures, writing algorithms, and solving problems. You will go through a number of data structures and solve classic problems that arise.

53. Python Data Science Handbook PDF

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.

These list of free python books will teach you what you need to know to legitimately call yourself a Python coder. The only ingredient missing is you. We have done our work. Now its your time to show. If you’re beginner, intermediate or advanced level developer, we’ve tried to cover something for all the levels of developers. So, Surf all the eBooks and select any as per your preference from the above list, Download the pdf or visit their website and start learning. Happy Free Python Book Day!