Want To Raise Your Python Game? Check Out These Python Books

In this article, we share the 15 best Python books in 2024.

Whether you’re new to Python or an experienced Pythonista looking to boost your skills, we’ve included Python books for beginners and pros.

As the number 3 language among developers, python books can be the ideal way to learn Python for data science, web development, and more. 

And sure, you can find answers to most coding questions online these days, but it’s always a great idea to have at least a few python books on your shelf!

Plus, with the Bureau of Labor and Statistics reporting an average salary of more than $100K for programmers, grabbing a Python book can be the first step to a lucrative career.

So, if you’re ready, let’s dive into the best Python books to boost your skills and get you ready to enter the Python job market.

Best Python Books for Beginners

1. Python Crash Course (3rd Edition)

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Why we chose this book

Let’s kick off with one of the most popular Python books available, Python Crash Course, by Eric Matthes.

When I was starting out with Python, this was one of the first books I picked up, and it seems I wasn't alone!

With more than 1.5 million copies sold, this book’s clear and concise teaching has made it a firm favorite among aspiring Python developers.

The first thing I have to say is that you won't yawn through endless pages, as this Python book is more of a well-paced sprint through Python essentials.

I also appreciate that it’s split into two halves, with the first solidifying your understanding of basics like loops and classes with clear examples and exercises.

With the fundamentals of Python down, the second half is where you shine by building three Python projects to bolster your portfolio and coding chops.

What about the teaching style? It’s hands-on with a learn-by-doing approach. I love this, as there's no substitute for putting theory into practice. It’s also packed with exercises to test and build your skills.

You can also expect to get to grips with libraries like Pygame for games, Matplotlib and Plotly for data visualization, and Django for web apps.

It’s also really nice to see Matthes using Python 3.11 in the updated edition. He also embraces VS Code as the preferred Python IDE.

In my opinion, this is a no-brainer for beginners but robust enough for pros to brush up their skills.

It’s also clear in the user reviews that readers like the practical approach and clear instructions, making this an ideal Python programming launchpad.

Standout Features:

• Best-seller status with an author who knows how to teach.
• Real-life projects that make your resume pop
• Up-to-date with Python 3.11 and modern tools.

2. Automate the Boring Stuff with Python (2nd Edition)

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Why we chose this book

Time to dive into another popular Python book, Automate the Boring Stuff with Python by Al Sweigart.

I have to admit, this is another one that I picked up when I was starting, as I was drawn to the idea of automating.

After all, who doesn’t want to harness Python to make their life easier?!

One of the best features of this book is Sweigart's approach to teaching, as he makes it easy for beginners and those without prior coding experience. He even has a related Python course on Udemy.

This Python book walks you through each program with detailed instructions, and updated projects at the end of each chapter put your skills to the test.

This is always music to my ears, as there is no substitute for learning Python by doing, and what better way than with real-world tasks that you can relate to.

Plus, you get the fringe benefit of freeing up your time.

In general, the goal of this book is simple: to teach coding in a way that directly impacts your efficiency and productivity.

I also appreciate the fact that the updated edition offers new chapters on input validation, automating Gmail and Google Sheets, and more.

It’s also obvious from the user reviews that aspiring Pythonistas appreciate the emphasis on making coding directly applicable to everyday life.

Whether you're a Python newbie or looking to streamline your workflow, this book's a solid pick.

Standout Features:

• Turns tedious tasks into Python practice.
• New content on input validation and Google automation.
• Step-by-step instructions that build your coding muscles.
• Updated projects that challenge you to apply what you’ve learned.

3. Learning Python (5th Edition)

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Why we chose this book

This is no skimpy pamphlet or Python cheat sheet!

We're talking about a comprehensive deep-dive into Python that’s over 1600 pages long, and it’s another that I added to my bookshelf when starting out. 

Whether you're a newcomer or a seasoned dev looking to expand your Python prowess, this book is a real treasure trove.

And while it may be a few years old, the core material is as relevant today as it was when the book was published.

Not only does it pack a punch with quizzes, exercises, and illustrations, but Lutz's teaching style is interactive and self-paced. 

Given its truly mammoth length, it’s quite a time investment, but one that pays off if you’re serious about Python.

Expect to go deep into general syntax, Python operators, built-in object types, and classes for object-oriented programming.

I really appreciated the strong emphasis on functions to avoid code redundancy, organizing code into modules, and Python’s exception-handling model.

These are essential skills for pro developers, so it makes sense to learn them early. 

You’ll also dive into more advanced features like decorators, descriptors, metaclasses, and Unicode processing. 

The goal of this book isn’t to merely learn Python but to master Python.

That said, I also think it’s an essential reference book to have on hand whenever you need to brush up on a particular topic, whether that's finding a Python substring or creating your own OOP class.

As for user reviews, readers really like the depth of content and the clarity of explanations. 

Standout Features:

• Broad and deep exploration of Python.
• Interactive learning with quizzes and exercises rather than passive reading.
• Insights into advanced Python features.

4. Head-First Python (2nd Edition)

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Why we chose this book

This is one of the most unique Python books on our list and another of my favorites.

If you’re unfamiliar with the Head-First series, the idea is to engage your brain visually and practically. 

Yep, forget slogging through dense manuals! This brain-friendly guide is all about taking a hands-on dive into Python.

You'll start with Python's fundamentals, like Python lists and functions, and then apply what you've learned by building a web application, managing databases, and handling exceptions. 

It's also packed with Pythonic tools like context managers, decorators, comprehensions, and generators.

These are some of my favorite aspects of coding in Python, so I really appreciated the fact that they try to encourage learners to use them early.

I also like the fact that it includes exercises and quizzes at the end of each chapter to test your understanding of the material.

If you want a book that makes learning Python enjoyable and less of a chore, this is definitely a solid choice that’s well-liked by existing readers. 

Standout Features:

• A visual, engaging approach based on cognitive science and learning theory.
• Practical, hands-on exercises building up to a complete web application.
• Coverage of essential Python features for real-world programming.
• A unique format that makes learning Python intuitive and fun.

5. Introducing Python (2nd Edition)

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Why we chose this book

This is an excellent choice for newcomers to programming who want to start with Python or are taking a Python course.

The main feature that really stands out about this Python book is the author’s methodical yet engaging approach.

Aiming at beginners, you’ll work through the basics and onto more complex subjects with a mix of tutorials and cookbook-style code recipes.

I really like this approach, as it’s ideal for hands-on learning. Which, if you haven’t guessed, is something I’m a big fan of!

I also appreciate the end-of-chapter exercises that allow you to practice what you've learned. 

Overall, this Python book stands out for its ability to teach a robust foundation in Python, including best practices for testing, debugging, and code reuse.

In my opinion, these are all critical skills for real-world programming, so kudos to the author for including them.

To round things out, it also shows you how to apply Python in various fields, such as business, science, and the arts.

This even includes sections on leveraging the vast ecosystem of Python packages. This is a nice touch, as it shows that the author appreciates Python's versatility.

Standout Features:

• Blend of foundational tutorials and practical code recipes.
• Engaging writing style that makes learning Python enjoyable.
• Comprehensive coverage of Python with end-of-chapter exercises.
• Covers Python's application in various fields with a variety of tools.

6. Python Basics: A Practical Introduction to Python (1st Edition)

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Why we chose this book

Whether you're completely new to coding or a seasoned dev who wants to learn Python, this is a well-structured and practical introduction.

I also like the sample projects the authors have included, as this ensures you're not just reading about Python but actively learning and applying it.

I’ll say it over and over: this is one of the most important things about learning Python. Code, build, and get practical!

Something that stood out to me about this Python book is the way it’s structured to build your understanding incrementally.

Expect to cover foundational topics like data structures and control flow before venturing into advanced territories like object-oriented programming (OOP).

You’ll also tackle file I/O, working with databases, and even scientific computing and data visualization with NumPy and Matplotlib.

It also covers the basics of creating and modifying PDF files, interacting with the web, and building graphical user interfaces (GUIs). 

Another strong point of this Python book is the interactive quizzes and exercises. These are ideal for reinforcing learning while also making it fun and engaging to measure progress. 

It’s also nice to see the authors include solutions to compare your approach with professional standards.

Standout Features:

• Chapters dedicated to fundamental programming concepts.
• Interactive quizzes and practical exercises with solutions.
• Covers a broad range of applications, from web scraping to GUI creation.

7. Learn Python in One Day and Learn It Well (2nd Edition)

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Why we chose this book

I guess the main question is, can you really learn Python in one day with this book?!

In my opinion, maybe! But you should probably be prepared to spend a lot more than one day truly mastering Python, especially if you’re totally new to programming.

That said, I appreciate that this Python book makes the learning process both swift and enjoyable!

One of this book’s main strengths is that the author breaks down complex concepts into digestible steps. This is essential for absolute beginners to grasp the nuances of Python.

Now, bear in mind that at less than 200 pages long, it’s more of a primer than a truly comprehensive guide to learning Python.

Despite the short length, you can expect a hands-on approach to learning basics like variables, data types, user inputs, iteration, errors, functions, modules, and OOP.

I also appreciate the inclusion of step-by-step instructions and practical examples to help you retain the material.

A standout feature for me is the emphasis on real-world applications, as the author has included Python concepts for data, web development, and machine learning.

Overall, if you're looking to dive into Python but are short on time, this book is for you. 

Standout Features:

• Concise breakdown of Python for beginners.
• Real-world examples for quick and effective learning.
• Curated selection of topics to cover essential skills
• Hands-on project to encapsulate concepts and reinforce learning.

8. Think Python (2nd Edition)

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Why we chose this book

If you're looking for a Python book that combines practical programming with essential software development principles, Think Python is a fine choice. 

This is also one of my favorite Python books, as it’s short, to the point, and practice-oriented.

I also like the author’s writing style when introducing computer science fundamentals. It really is one of the most thorough options for beginners despite its modest length.

If you want to understand programming beyond syntax and semantics, definitely give this one a try!

It's also a great way to level up your knowledge of Python concepts for interviews.

One of the main strengths of this book is the balance of practical coding exercises with fundamental software development concepts. 

Expect to start with basic programming concepts before taking on Python specifics, like functions, recursion, data structures, and object-oriented design. 

In my opinion, this book is ideal if you want to gain a solid foundation in programming with Python while also learning to think like a computer scientist. 

Standout Features:

• A thorough introduction to computer science with Python.
• Programming concepts are clearly defined and logically progressed.
• Practical exercises in every chapter, with case studies for in-depth learning.
• Covers how to think algorithmically and solve programming tasks.

9. Python: For Beginners (1st Edition)

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Why we chose this book

Whether you're just starting out, returning to coding after a break, or a professional who needs a quick primer, this Python book is an excellent choice.

And at only 135 pages, it’s one of the very shortest books on our list.

I also appreciate that the author takes a pragmatic approach to programming, emphasizing the importance of thinking like a programmer. 

For me, this is one of the most important skills for newcomers, so it’s great to see the author baking this in.

And while it’s not promising to teach you Python in a single day, it is designed to let beginners learn basic Python in seven days.

This is something I can believe because even if you’ve never coded in your life, you can definitely learn the core skills in one week.

Interestingly, despite its modest length, this Python book is relatively comprehensive, with chapters on loops, data types, dictionaries, and more.

You’ll also touch on advanced topics like object-oriented programming, file I/O, and regular expressions, not to mention the section on best practices for Python development.

It’s also great to see hands-on coding projects, which I think are essential for bringing new concepts to life. 

Standout Features:

• Covers Python essentials such as loops, data types, and object-oriented programming.
• Step-by-step guidance to take a newcomer from installation to coding their own projects.
• Practical exercises cement new Python skills in a fun and engaging way.

10. Learn Python 3 the Hard Way (1st Edition)

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Why we chose this book

The first thing that stood out to me about this book was the title! I mean, who wants to do things the hard way, right?

It’s probably why I picked this book up myself, as I just had to know how hard it would be?

Turns out, it's not that hard! 

If you’re not familiar with the author, Zed Shaw’s method combines discipline and persistence with 52 practical exercises ranging from basic math to web development. 

Expect to cover fundamentals like variables, data types, user input, file I/O, data structures, and advanced topics like object-oriented programming and modules.

You’ll even learn about Python packaging, automated testing, and basic game development.

But what makes this such a good Python book is that it’s designed for those who prefer to learn by doing. 

This means writing out every line of code yourself, avoiding all copy-pasting, and switching off any autocomplete features.

The idea is to truly learn Python by getting the code under your fingers. This is something I wholeheartedly agree with, as it’s all so easy to rely on your IDE to do the coding for you.

And with the growing availability of AI coding assistants, the temptation is even greater for beginners to rely on AI autocompletions when learning Python.

Overall, I'd say it's much easier to avoid common Python mistakes if you make them and then learn from them.

I also like that it goes beyond plain coding, delving into how computers work, program design, and the intricacies of Python.

You can even access more than 5 hours of complementary video content. 

Standout Features:

• 52 real-world exercises for hands-on learning.
• Emphasis on manual coding to improve precision and understanding.
• Additional video content for an enriched learning experience.
• Suitable for learners of all levels, from beginners to seasoned professionals.

Python Books for Improvers & Pros

11. Fluent Python (2nd Edition)

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Why we chose this book

With a focus on idiomatic Python code, this book is ideal if you want to improve your Python skills and learn best practices for writing efficient, elegant, and maintainable code.

Fluent Python really stood out to me for being a deep dive into the Python language for more experienced coders, hence the 1000+ pages!

But rather than being a plain manual, it’s actually a guide to thinking in Python.

I really like this approach, as a Python mindset can be the key to leveraging Python’s full potential in your work or even when prepping for Python certifications.

Expect to take a comprehensive look into Python's data model and built-in data structures while also learning about graph algorithms, caching, and dynamic programming.

You'll also explore advanced topics like treating functions as objects, object-oriented idioms, context managers, generators, and concurrency.

One of my highlights is the emphasis on writing Pythonic code, as you’re often encouraged to put the theory into practice. 

This means that you're not just passively reading but engaging with exercises that reinforce the material.

Even if you’re coming from another language, Ramalho's guidance on metaprogramming with Python is really helpful for reshaping your thinking and approach to coding.

Standout Features:

• Deep dive into Python's core language features and libraries for effective coding.
• Practical exploration of advanced topics like metaprogramming, concurrency, and generators.
• Emphasis on idiomatic Python code to make your programs Pythonic.
• Hands-on exercises to solidify concepts and make the learning process active.

12. Python 3: The Comprehensive Guide to Hands-On Python Programming (1st Edition)

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Why we chose this book

If you’re looking for a comprehensive guide to Python, this might be one of your best options.

It's also nice to know that this Python book proudly earned the 2024 IBPA Benjamin Franklin Award in the Professional and Technical Category.

Coming in at a whopping 1000+ pages, it's well suited as a dive deep into Python and a great reference book to have on your shelf.

We’ve all got at least one massive programming book on our shelves, right? 

Aimed at those who want to master Python programming, I think this book stands out for its thorough and hands-on approach, with a large emphasis on writing effective code.

This also makes it a great resource when preparing for Python interviews.

Expect to start with basic Python principles, including detailed explorations of functions, methods, and data types. 

You’ll also be using Python's standard library extensively, which is great to see, as this is one of Python’s greatest strengths.

After which, you’ll gradually ramp up to more complex topics with a deep dive into GUIs (Graphical User Interfaces), network programming, debugging, and optimization. 

I really liked the inclusion of advanced programming techniques, including Django for web development, scientific computing, and interfacing with other programming languages.

These are all excellent skills to add to your toolkit when you’re ready to level up from beginner to expert.

Plus, this Python book is also packed with a wealth of practical code examples, which are also downloadable. 

Standout Features:

• Comprehensive and complete handbook on Python 3.
• Detailed exploration of GUIs, network programming, and debugging techniques.
• Advanced topics like Django, scientific computing, and language integration.
• Ample practical code examples for hands-on learning.

13. Effective Python (2nd Edition)

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Why we chose this book

If you’d class yourself as an intermediate-level Python developer, this is a solid choice as it offers a comprehensive guide to the nuances of Pythonic code.

No matter how experienced you are, this book is full of valuable insights.

Expect to go deep into Python's built-in data structures, concurrency and parallelism, robustness, and performance optimization in Python. 

For me, the stand-out feature of this Python book is the clear focus on real-world applications,  not to mention the 90 practical examples to enhance your coding skills.

As I’m sure you know all too well by now, I’m always in favor of practical examples!

It’s also really nice to see that each chapter is broken down into digestible sections, with each centering around a practical, actionable recommendation.

I like this style: learn the concept, then put it into practice.

Standout Features:

• In-depth coverage of Pythonic coding practices with 90 practical examples.
• Focus on real-world application, perfect for intermediate to advanced programmers.
• Clear, concise explanations coupled with illustrative code examples.

14. Python Distilled (1st Edition)

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Why we chose this book

As the updated version of the highly popular Python Cookbook, Python Distilled is an essential resource for experienced Python developers. 

The clue is in the title, I guess, but I really like that this Python book conveys the core concepts of Python in a distilled and clear manner.

This is ideal to deepen your Python knowledge without being bogged down in unnecessary details.

I also like the pragmatic structure that dives into the core of the Python language, including topics like data abstraction, control flow, program structure, functions, objects, and modules. 

By focussing on foundational elements, Python Distilled is also a great choice for developers who are making the transition to Python.

For instance, it also covers Python's object-oriented programming model and techniques for proper input/output handling to help programmers relate these concepts to other languages.

Bear in mind this is not a step-by-step tutorial but more of a reference guide that summarizes the most important language features in an easily digestible way.

This makes it a great choice if you’re a seasoned programmer who’s after a quick reference. After all, it’s only 350 pages long.

Standout Features:

• Concise yet comprehensive overview of modern Python, focusing on its core elements.
• Clear and simple presentation of complex concepts for experienced programmers.
• Covers fundamental topics like data abstraction, control flow, program structure, and more.
• Practical advice on structuring programs for clarity, reliability, and maintainability.

15. High Performance Python (2nd Edition)

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Why we chose this book

As the final entry on our list, High Performance Python is a standout choice if you want to push the boundaries of efficiency and performance in your Python code.

I really like this book’s style, as it’s not just about writing code that runs; it's about writing Python code that runs fast!

Sure, we all have powerful computers these days, but I think it’s a sign of a real professional when your code is not only Pythonic but optimized for speed.

You’ll also gain insight into how to optimize CPU time, memory usage, and how to use the right data structures.

It even delves into advanced topics like matrix computations and multicore architectures.

Given how popular Python is for data science and data-driven roles, expect to dive deep into the art of performance optimization for high-data-volume programs.

This is ideal if you want to level up your knowledge of Python concepts for data science.

I also appreciate that the book helps you understand the theory behind design choices and practical Python implementations.

This leads me naturally to a standout feature of this book, which is the focus on practical solutions for common performance bottlenecks.

They even include real-world stories from industries like social media analytics and machine learning.

I like this approach, as it adds more depth to performance challenges and how they can impact actual companies and real industries.

Standout Features:

• Strategies for writing efficient programs tailored for high performance.
• Techniques for managing I/O and computational operations concurrently.
• In-depth understanding of NumPy, Cython, and Python profilers.
• Guidance on deploying code using modern tools like Docker.

Why Learn Python In 2024?

If you're brand new to programming, let's start with the basics.

Python is a high-level, general-purpose programming language with a simple and intuitive syntax.

This makes it easy to learn and understand, meaning it’s an excellent language for beginners.

So, if you're completely new to coding, Python is always a great place to start your journey.

Python is also renowned for its versatility and varied applications, meaning you can use it for data science, machine learning, web development, scientific computing, and more.

One of my favorite things about Python is the vast and supportive community of Python developers.

Not only are they always there to help you learn, but they're also constantly creating useful libraries, modules, and Python frameworks.

How To Choose The Best Python Book

Choosing the best books to learn Python can be tricky, especially if you’re a beginner.

That's exactly why I created this article!

But if you want some tips for finding the best Python books, here are the criteria I used when creating this list:

1. Determine your skill level: If you are a beginner, look for Python textbooks that cover the basics. If you’re an experienced programmer, look for advanced books on specific features.
2. Check the author's credentials: Focus on Python books written by authors with experience in programming and teaching Python.
3. Read reviews: Check out the Python book's reviews online to understand what other readers think. This is often a goldmine of information!
4. Consider your learning style: If you prefer a hands-on approach, focus on Python books that include exercises and projects.

Wrapping Up

And there you go, the 15 best Python books in 2024, including Python books for beginners and experienced coders.

Whether you’re just starting out in Python or you want to level up your skills, we’ve included Python books to help you achieve your goals in your programming career.

Happy reading!

Are you brand new to programming, and you're ready to learn Python? Check out:

Our very own Python Masterclass - Python with Dr. Johns

Frequently Asked Questions

1. Which Is the Best Book for Python Beginners?

It’s hard to pick the best Python book for beginners, depending on your previous programming experience, preferred learning style, expectations, and more.

If you’re unsure where to start, we’d recommend Head-First Python for its unique teaching approach or the Python Crash Course. But overall, we’d recommend any from our list of the best books for Python beginners.

2. Which One Is the Best Book for Python?

Selecting the best book for learning Python is hard, as it depends on your skill level, interests, and preferred learning style.

If you’re unsure where to start, check out any of the books on our list, as there are options for beginners and experienced developers. If you’re a beginner who wants a comprehensive read, check out Learning Python, or if you’re an advanced developer, consider Python Distilled. 

3. Can You Learn Python From a Book?

Yes, you can learn Python from a book. It’s also important to include hands-on coding practice and maybe work on some of the best Python projects to reinforce your learning. You could also consider backing your book learning with one of the best Python courses.

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References

1. Stack Overflow. Stack Overflow Developer Survey 2023: Most Popular Technologies - Programming, Scripting, and Markup Languages [Internet]. Stack Overflow; [date unknown; cited 2024 Jan 15]. Available from: https://survey.stackoverflow.co/2023/#section-most-popular-technologies-programming-scripting-and-markup-languages

2. Bureau of Labor Statistics, U.S. Department of Labor. Occupational Employment and Wages, May 2022, 15-1251 Computer Programmers [Internet]. [updated 2021 Mar 31; cited 2024 Jan 15]. Available from: https://www.bls.gov/oes/current/oes151251.htm