Want to get right to the best python books to read right now?
One of the biggest questions you will ask yourself when you’re learning how to code python is: “what python books should I read?”.
You will find several different python books on the internet, but it can be overwhelming. The good news is that you don’t have to look any further than this blog.
In today’s list, I set out to find the best python books to read in 2022 and beyond to make it easier for you to learn about this rising star in the coding universe.
I researched, ranked, and reviewed the most popular books on the market that are worth reading right now – and I plan to update this list over time as I read new books.
Disclaimer: I may earn affiliate commissions from Amazon LLC if you decide to purchase any book on amazon through checkout links available on this page. However, these commissions are at no extra cost to you and my goal is to give you the very best recommendations. Read more about it here.
Let’s get to the list.
What is the Best Python Book to Read?
Here are my top picks for the best python books to read this year:
- Python Crash Course: 2nd Edition.
- Python for Beginners: A Guide to Learn Python in 1 Week.
- Automate the Boring Stuff with Python.
- Python Tricks: A Buffet of Awesome Python Features.
- Supercharged Python.
- Python For Everybody.
- Python Data Science Handbook.
- Introduction to Machine Learning with Python.
- Machine Learning with Python Cookbook.
- Deep Learning with Python.
- Hands on Neuroevolution with Python.
- Publishing Python Packages.
- Intuitive Python.
- Practice of the Python Pro.
- Network Science with Python.
- Invent Your Own Computer Game with Python, 4E.
- Making Games with Python & Pygame.
- Beginning Game Development with Python & Pygame.
- Game Programming: The L Line.
Beginners Python Books: For the Learners.
1. Python Crash Course: 2nd Edition.
This book assumes that you, the reader, are a novice programmer. That is to say, it starts at the beginning, assuming no prior programming experience.
The first third of the book covers basic programming concepts that are used throughout the book and beyond. Even if you have no programming experience, don’t be discouraged — it builds you up from the very beginning.
It’s a fast-paced, thorough, hands-on introduction to Python that will help you learn the language quickly.
Even if you’ve had previous exposure to Python, this book will fill in any gaps in your knowledge. It’s ideal for programmers who want to pick up the basics of Python coding in a hurry.
Whether you’re new to programming or just new to Python, this hands-on book will get you writing real programs quickly — and learn the basics fast.
You’ll start off with a quick Python programming overview and create your first complete program in Python. As you continue through the book, you’ll learn how to work with different data types, examine Boolean logic, create loops to perform repeated tasks, and build functions to group code for easier reuse.
By the end of this book, you’ll be well prepared for future courses on algorithms and data structures, or practical software development techniques that use the Python programming language.
Overall, it is the best python book that provides an up-to-date introduction to programming with python that will have you writing programs, solving problems, and making things that work in no time.
2. Python For Beginners: A Guide to Learn Python in 1 Week (coding, programming, web-programming, programmer).
If you want to learn python and start using it after 7 days of reading this book then I would highly recommend it. It has all the important aspects of python, a language that is rapidly being adopted by big brands around the globe.
As the software development industry grows and moves forward, more and more companies will adopt Python as their programming language of choice. Those that do not adapt now will be left behind, so it’s in your best interests to start learning Python today – as quickly as possible.
Learning a new language may seem daunting at first, but when you have a guide like this one to help you along, the process becomes a lot easier — not to mention quicker and more effective. If you do happen to learn Python using this book, let me know what projects you end up working on!
Predicting the future is hard if not impossible – but there’s one thing we can be almost certain of programming is an invaluable asset in today’s world, and it will be even more so tomorrow. Do yourself a favor and start learning Python today; its elegance is unmatched, and it will serve you well for years to come.
Here’s the secret:
To master python, you must have a strong foundation of its core basic concepts. And, that’s where reading this book comes in – if you want it in just 7 days.
3. Automate the Boring Stuff with Python: 2nd Edition.
Automate the Boring Stuff with Python, 2nd Edition is a great place to start your python programming journey, whether you’re just looking to get started writing your own simple scripts or you have your eye on a bigger prize like becoming a software developer.
As long as you know the basics of how to use the Python language, you can use this book to take control of your knowledge of python language and all the tasks it performs for you.
Think of the time you spend waiting in line or commuting, doing repetitive data entry tasks, or cleaning up your computer files. Wouldn’t you like to be doing something more interesting instead? If so, you’ll want to create programs that can automate these menial, boring tasks.
That’s where reading this book comes in.
After learning the basics of the python programming language, I highly recommend this book as your next read.
Automate the Boring Stuff with Python is effective at showing how fun, easy, and useful automation can be. It accomplishes this by making relatively simple tasks extremely fun, easy, and useful. I would highly recommend it for anyone even with the slightest interest in python.
4. Python Tricks: A Buffet of Awesome Python Features.
Mastering Python is a long and arduous journey — but is well worth it. And while there are many avenues to take along the way, this book helps you make the journey more interesting and enjoyable than might otherwise be possible.
This handy and insightful book is a must-have for every Python developer’s library — and a great resource for beginners looking to learn the language as well. All in all, this book covers a lot of ground and provides valuable insight into the design decisions made by Python’s creators.
If you are new to programming, or to Python, then this book is an excellent place to start as it explains concepts in clear and simple terms. Experienced programmers will find this book a useful reference and handy companion when reading through the Python documentation.
The coverage of topics such as generators, iterators, context managers, and decorators makes it clear that the authors understand these aspects of Python well and that they want to share their knowledge with you.
If you’re new to Python and need help grokking the language and its capabilities, then this book is definitely worth checking out and highly recommended by me.
After learning python from scratch, and learning some tricks, here is a book to advance your code writing in python.
Supercharged Python is a great book for beginners to intermediate Python coders. It covers only the most critical topics but does an excellent job of covering them in great detail.
This book is likely to appeal to on-experiencing coders who want to take their code to the next level, while also appealing to readers who want to get started in the world of computer science.
The book is divided into 5 parts, each of which focuses on a specific set of advanced Python language features.
As you progress through the book, you will gain a deeper understanding of the Python language. And by the time you’re done with this book, you’ll feel confident writing code using all of these advanced Python programming techniques.
Ultimately, the best way to take your Python skills to the next level is through practice — so be sure to regularly practice it yourself.
Intermediate Python Books: For the Explorer.
Data is all around us, from the daily sales of a company to the total number of hours worked by its employees.
Data is often hard to visualize in its original format. With Python, you can import and manipulate data to make it display how you want.
And, that’s what this book is all about.
The Python for Everybody book teaches beginners how to use Python 3 to approach the same kinds of problems they already solve with spreadsheets or other software.
The Python programming language is the tool, which means that instead of learning how to “think like a computer,” you will be able to “think like a human who knows how to tell the computer what to do.”
With this in mind, readers are guided through the basics (functions, variables, and data types) so that their early programs solve real problems.
As the reading continues, you then move on to some slightly more advanced topics (arrays and looping) before finally tying it all together with an introduction to object-orientation.
It’s a perfect foundation for beginners’ basic practical learning with data, no matter whether you are a school student or college.
The Python Data Science Handbook encapsulates a range of different tools that you can use to complete data science tasks with Python.
In this way, it offers an insight into how to approach these challenges with Python and the command line.
It also gives you the information required to gain many of the benefits associated with these tools for your own projects, such as the increased productivity that comes from coding in an interactive console environment.
Be aware, however, that you will have to put in some time and effort to make the most of this resource. If you need a quicker solution that requires no programming, SciPy’s Machine Learning Toolbox may be a better fit.
Still, if you prefer the power and flexibility of Python and the Jupyter notebook interface (with which the PDSH was developed), then this should be one of your first stops.
Have you ever wanted to dive into the field of machine learning? Or use your programming skills to explore new ways to make your applications work better?
If so, this book is for you. Machine learning is a key skill in today’s software landscape, and Python is often the tool of choice for doing practical, real-world machine learning and data science projects.
Since its introduction in the late 1990s, Python has become one of the most widely used programming languages in the world. The versatility of Python matches its popularity — you can use it for almost any task, from web development and software prototyping to scientific computing.
In this book, you will learn practical ways of implementing machine learning techniques in your own projects. It starts with an introduction to machine learning and the most important Python libraries.
You’ll then move on to cover classical supervised learning methods, as well as unsupervised approaches, covering key concepts such as model evaluation and gradient descent. And, in the end, you’ll deal with advanced topics such as neural networks and deep learning.
Maybe you already know how to program in Python and want to learn the basics of machine learning and how to use it in your projects. It doesn’t matter if you have no prior knowledge of machine learning; this book will give you everything that you need to know from the start.
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning cover commonly encountered problems for data science and data analytics about machine learning with Python.
These recipes can be used in different contexts, especially if you want to perform analysis on the business level of your company (or if you just want to learn more about it.)
For example, you may want to predict churn rate or identify a way to expand your product line. This book will show how to create powerful predictive models through various scenarios.
This book can save you hours of work, if not days or weeks. It is a must-have resource, not just for those who perform analytics and machine learning on a daily basis, but also for the complete beginner.
Every chapter and the introduction provides the necessary context to understand what is being discussed, how the topic and its solution are related to other topics in machine learning, and what background knowledge you might need.
The book never becomes too technical when explaining how to implement various models and algorithms; instead, it includes plenty of diagrams, as well as example datasets that can easily be downloaded from GitHub.
Some chapters even include exercises with solutions so that you can test your understanding.
If you want to dig deeper into the world of machine learning through python, “Deep Learning with Python” is the next must-read book.
Firstly: What is Deep Learning?
In simple words, Deep learning is a machine learning technique that teaches computers to mimic how the human brain works.
And, this is where the concept of “Artificial Intelligence” comes into play. When deep learning combines with machine learning, then it forms AI.
For better understanding, see this:
Deep Learning is the development of data inside the digital neurons, which is installed inside the machine brain in the form of a red chip (see image). When they work together, the machine brain perceives the data exactly like a human brain, i.e. what artificial intelligence actually is.
The future of deep learning is bright indeed, and it will be exciting to see where the field goes from here.
With new developments and discoveries happening every day — both inside and outside of the field of AI — the possibilities are endless. As such, I believe that this book has only scratched the surface of what’s possible for deep learning and that there’s much more left to explore!
Deep learning is a fascinating area of machine learning, offering us hope that AI may soon become the true servant of mankind it was once imagined to be.
In this book, the author has tried to guide you through the theory, the tools, and the practice of deep learning with python, so that you can learn how to build your own python programs that are capable of computer vision, natural-language processing, and generative models.
The book’s format is appealing, but the length is quite a bit shorter than other resources in the field, and specifics are lacking at times. If you have an interest in data science and ML, this might be a good starter book for you, but it’s only one piece of your education.
It’s definitely worth checking out as a starter book in deep learning!
Deep Learning is the development of data inside the digital neurons of the machine brain. Hands-on Neuroevolution with Python will show you the development of those digital neurons aka neural networks or the red chip.
This book is intended to serve as a primer for the researcher and practitioner of deep learning. Although the student will build upon their knowledge of neural networks, machine learning, and evolutionary computation, this book will not delve into any core topics in-depth.
Instead, it focuses on giving you an opportunity to put this knowledge into practice by utilizing it to build your own completely custom AI agents from scratch!
The book covers each of the main neuroevolution algorithms at a high level and demonstrates their effectiveness for optimizing a well-defined task.
It provides biological insights into the underlying problems that are being addressed by these algorithms, and it presents code implementations in Python that implement these basic algorithms, thus providing a complete set of tools for readers to apply these methods in future work.
Neuroevolution can be used as a new method of deep learning and ML, in addition to the more traditional ones like reinforcement learning, genetic algorithms, or supervised learning.
For many hard problems, using evolution-based methods can be quite effective, like natural evolution works.
Evolving neural networks are closer to the brain than other machine learning techniques, and understanding these methods and their application areas will help to get a better understanding of the human brain and how it works.
Advanced Python Books: For the Expert Hands
There are a vast number of Python packages in use today, most of which are managed by the open-source community.
The Python Package Index (PyPI) is the primary venue for distributing and installing new packages and has proven to be an invaluable resource for both new and veteran Python developers.
This book delivers a comprehensive overview of how to create packages that are compatible with the official Python packaging tools and best practices around testing and distribution.
By the end of this book, you will have a deeper understanding of how python package indexes and related tools work. You’ll be able to create reusable tools for building and distributing packages with clear maintenance guidelines.
You’ll also understand how to test a package from start to finish, and automate your testing process so that it remains consistent regardless of the number of contributors you have.
With all the new features in Python packaging over what the book discusses, the best way to learn Python packaging will be by getting your hands dirty and working with it directly.
Through the examples, in this book, you’ll have learned many techniques for creating and testing Python packages and will have seen a wide variety of ways that they can be implemented.
13. Intuitive Python.
Intuitive Python is a book for developers who want to build more than just another development project. If you want to create something real and lasting, then the advice in this book can help make it happen.
The tools and practices in this book will help you avoid bigger problems down the road while giving you the foundation to tackle large-scale projects with confidence.
This book is not meant to be read in one sitting. It is a reference to be used as you encounter problems when writing software in Python. Each topic can stand by itself, but many of the sections are interconnected, so it’s best read from beginning to end.
One of the reasons why this book is so effective is that it is one of the few books that actually teach the reader how to organize their code for large-scale projects.
This comes with experience, but not everyone has to reinvent the wheel every time they start a new project. Teach yourself how to take proven patterns from previous projects and apply them to your new ones.
This will help you be more productive as a developer and also help you save time and effort in the long run.
Mastering the fundamentals of python development is key to being a successful programmer. Learning how to write code that delivers value while being clear, readable, maintainable, and scalable is a necessity if you want to rise to the top of your field.
Practises of the Python Pro gives you the advantages you need to succeed in any environment, packed with proven patterns and best practices to help you tackle projects like the professional you aspire to be.
Whether you’re new to Python or a seasoned veteran, you can benefit from the advice and techniques presented in this book.
It’s written for intermediate Python developers who want to shift themselves into the next level and write cleaner code, but even newcomers to the language will find valuable tips on organizing code into easily understood, maintainable units.
With this book, you’ll sharpen your existing Python fundamentals, learn new strategies for improving large-scale application coding, and build highly maintainable software that’s easier to understand and expand.
This book is a must-have for every Python developer — even those with years of experience under their belts. It takes time to learn what makes your code clean and easily maintainable, but this book will help you speed up the learning process.
Network Science with Python and NetworkX Quick Start Guide, first starts by introducing you to the basics of network science and then moves forward to teach you the underlying principles and applications of network science with Python.
By the end of this book, you will have gained expertise in using a variety of methods to explore, visualize and understand complex network structures.
If you are just getting started in network analysis, or if you have so far only used free open-source software, this book is a fast, simple, and cheap solution that should get you up and running with network science quickly.
Even experienced network/data scientists should keep this book on hand as a quick reference for Python-based network analysis.
As you progress through the chapters, you’ll use NetworkX to create, analyze, and visualize many real-world networks.
You’ll learn how to extract and display information about each node’s location in a network, discover hidden communities inside your data sets, and determine the best ways to store and organize your data.
Exploring and visualizing network data effectively is important in the field of network science. Though there is a lot of network visualization software, NetworkX is a nice library to create, manipulate, and analyze graphs for its support for all main algorithms used to create such visualizations.
By exploring data with Python and NetworkX, you can analyze connection patterns, node properties, organize information for better understanding and communication purposes, impose structure on unruly datasets, and more.
Together, Python and NetworkX allow you to do some scientific work by testing your hypotheses against the actual data; this is how true discovery takes place. In addition, your skills in Visualisation will improve considerably.
Even if you have the slightest interest in network science coding and python programming, then this book is worth checking out.
Game Programming Books: For Having Some Fun
With its simple, clean design, it is a beautiful book on the whole and will be a wonderful resource for students of all levels.
It should also be noted that Invent Your Own Computer Games with Python teaches you how to program entire games using only the Python language – no other languages are necessary!
It contains a thorough introduction to the language, a detailed breakdown of Python’s fundamentals, and then it jumps into game development and makes game creation accessible for beginners with clear instruction and an abundance of examples.
If you have never written a single program before, and particularly if you have never attempted to make your own computer games or seen any computer code, there is no better place to start than this book.
It can help you get started with something simple, like a text-based adventure, tic-tac-toe, and then move on to bigger things like an arcade game after that.
This book is an appealing choice for anyone who wants to learn how to create games. Why? It’s thoroughly approachable, which is especially helpful for people without a programming background. Plus, it offers users the opportunity to create interesting games of their own. If this sounds like a fun thing to do, then you should definitely consider picking this book up!
Making Games with Python & Pygame is primarily intended for people who have never programmed before, and are trying to learn, but it is also a useful reference for anyone looking for a succinct guide to the Pygame library.
Most readers should be able to follow along with this book by simply typing in the example code, but advanced users can benefit from learning about game development best practices.
For this book, the author relied heavily on an open-source package called Pygame (http://pygame.org/), which can be downloaded and installed for free.
If you follow along with this book in a way that allows you to type the examples as you read them, you’ll eventually write a number of fun games and find yourself with several useful programming tools.
In the end, this book gives you an introduction to making games with python and pygame for having some fun. And, the best part? The digital (pdf) version of this book is freely available to download.
This book is an excellent ending to game development in Python and Pygame and does a great job of providing a comprehensive treatment of the topic.
While it does delve into the subject matter, it doesn’t do so to the point that experienced developers will find it too basic or simple.
Instead, it strikes the perfect balance in introducing readers to the basic concepts they need, while also providing them with room to expand upon those ideas with exercises and resources at the end of each chapter.
It’s not one that you would use as your primary help source moving forward (there are plenty of other books out there for that), but more as a reference work that can augment what you’re learning on your own.
Learning to program games is a skill that many simply do not understand or pursue. To those interested in the various technical aspects of game development, this book is an invaluable resource.
While it may take some time to fully grasp each concept, as a whole, these instructions are easy to follow and provide enough relevant information for readers to apply as needed upon reading. This is also a great book for beginning programmers looking to enter the game development industry.
In the end, this book aims to give readers a solid introduction to developing games using Python and Pygame. And while there are other books on the market that attempt to do this, this book is unique in its approach.
The exercises were created by industry professional Will McGugan so that readers can get experience actually putting their new skills into practice, rather than simply reading about them.
Whether you want to create casual or professional games, or are looking for an accessible programming language to use as a launching point into game development, Beginning Game Development with Python and Pygame: From Novice to Professional will help you learn how to turn your ideas into a reality.
Ultimate, its a book for professionalism. Purchase this book if you want to become a serious coder in the game development industry.
Game Programming: The L Line, The Express Line to Learning is an ideal textbook for anyone looking to enhance their knowledge of game programming by developing a hands-on experience. The book is well organized, with excellent content.
So why develop a computer game? Certainly, there are many reasons, but if you are interested in programming then the real question is: Why not?
If you have never programmed anything before, take the time to learn some Python syntax and start developing your first small game. Soon you will be much more comfortable writing code and more motivated to learn more about the field.
If you have prior experience with game programming, this book will give you a good introduction to Python programming and some game development concepts that you may have never explored before.
While some of the chapters do go more in-depth than others, learning the basics of programming and how they apply to game development is critical to your future success as a game designer.
Without it, you will not be able to communicate effectively with other programmers who are using different languages and have different backgrounds.
This strength makes this book a good starting point for anyone looking to enter into this field. And, the standout factor about this book is that it goes beyond the basics and keeps you engaged with advanced development.
It also helps in developing games like racing games, arcade games, and teaches adding game functionality sounds, scorekeeping, etc.
What we discovered in today’s blog posts were some of the best python books covering data structures, algorithms, machine learning, testing and automation, web development, and some more topics.
These resources included titles from computer science experts who have already made a name for themselves in the industry and their picks for their favorite tools and libraries.
As the internet is full of resources, it’s important to make sure you’re getting quality material when you read. The books we’ve chosen to include just might be the best of their kind.
Even if you’re not sure python is your thing, remember that these books are generally helpful for beginners looking to take their coding skills to the next level. I’m sure that at least a few of these books will meet and exceed your expectations.
So which one of the best python books are you planning to read? Are there any other books that are worth adding to this list? Let me know in the comments.