Fans pick 85 books like Mission Python

By Sean McManus,

Here are 85 books that Mission Python fans have personally recommended if you like Mission Python. Shepherd is a community of 12,000+ authors and super readers sharing their favorite books with the world.

When you buy books, we may earn a commission that helps keep our lights on (or join the rebellion as a member).

Book cover of Python for Everybody: Exploring Data in Python 3

Daniel Zingaro Author Of Learn to Code by Solving Problems: A Python Programming Primer

From my list on for a rock solid python programming foundation.

Why am I passionate about this?

Some programmers learn through online articles, videos, and blog posts. Not me. I need a throughline—a consistent, expert distillation of the material to take me from where I am to where I want to be. I am not good at patching together information from disparate sources. I need a great book. I have a PhD in computer science education, and I want to know what helps people learn. More importantly, I want to know how we can use such discoveries to write more effective books. The books I appreciate most are those that demonstrate not only mastery of the subject matter but also mastery of teaching.

Daniel's book list on for a rock solid python programming foundation

Daniel Zingaro Why did Daniel love this book?

Learning to program is hard. We need teachers who remember this, who are patient, who support the learning process, who not only know how to teach but also know how to learn from their teaching. Severance is all of these things. I like the breezy but precise writing, sections on debugging, glossaries and exercises in each chapter, and discussion of common learner errors. Bonus feature: regular expressions.

By Charles R. Severance,

Why should I read it?

1 author picked Python for Everybody as one of their favorite books, and they share why you should read it.

What is this book about?

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.

Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.

This book uses the Python 3 language. The earlier Python 2 version of this book…


Book cover of Hello World! A Complete Python-Based Computer Programming Tutorial with Fun Illustrations, Examples, and Hand-On Exercises.

Daniel Zingaro Author Of Learn to Code by Solving Problems: A Python Programming Primer

From my list on for a rock solid python programming foundation.

Why am I passionate about this?

Some programmers learn through online articles, videos, and blog posts. Not me. I need a throughline—a consistent, expert distillation of the material to take me from where I am to where I want to be. I am not good at patching together information from disparate sources. I need a great book. I have a PhD in computer science education, and I want to know what helps people learn. More importantly, I want to know how we can use such discoveries to write more effective books. The books I appreciate most are those that demonstrate not only mastery of the subject matter but also mastery of teaching.

Daniel's book list on for a rock solid python programming foundation

Daniel Zingaro Why did Daniel love this book?

I’m a kid at heart. (My favourite book genre is middle grade fiction.) Don’t be put off by a book with "kids" in the subtitle. And what an ebullient book this is! I unapologetically laugh at this book’s humour. I like the short chapters with measurable progress in each one; I like the easy GUI programming to get us started; I like the computational study of probability and randomness. I could quibble over the order that some topics are introduced, and some of the forward references… but, you know what? I won’t. This author duo gets it. Bonus feature: that sneaky way of introducing mutability in Chapter 2. Bonus feature #2: SkiFree.

By Warren Sande, Carter Sande,

Why should I read it?

1 author picked Hello World! A Complete Python-Based Computer Programming Tutorial with Fun Illustrations, Examples, and Hand-On Exercises. as one of their favorite books, and they share why you should read it.

What is this book about?

Hello World! Third Edition is a fun, easy-to-use guide with copious illustrations and engaging examples. It takes the reader on a playful tour of basic programming concepts and then puts those concepts together to make fun and useful programs. It uses Python, a programming language that is one of the easiest to read, write, and understand. Like the previous two editions, Hello World! Third Edition is not just for kids. While the tone is light and engaging, it doesn't "talk down" to the reader, and beginners of any age will love its readability and sense of humor. Written by Warren…


Book cover of Get Programming: Learn to Code with Python

Daniel Zingaro Author Of Learn to Code by Solving Problems: A Python Programming Primer

From my list on for a rock solid python programming foundation.

Why am I passionate about this?

Some programmers learn through online articles, videos, and blog posts. Not me. I need a throughline—a consistent, expert distillation of the material to take me from where I am to where I want to be. I am not good at patching together information from disparate sources. I need a great book. I have a PhD in computer science education, and I want to know what helps people learn. More importantly, I want to know how we can use such discoveries to write more effective books. The books I appreciate most are those that demonstrate not only mastery of the subject matter but also mastery of teaching.

Daniel's book list on for a rock solid python programming foundation

Daniel Zingaro Why did Daniel love this book?

Bell is an expert teacher. I like the order of topics; the breakdown of topics into units; the short, targeted lessons in each unit; the varied capstone projects to tie things together; the explicit learning goals; the structured approach to solving problems. The first bit of code that you’ll write is on page 30. Your first complete program is on page 60. What’s up with those first 59 pages, then? Motivation, comparisons to daily life, setup, and building blocks. Things that other authors tend to skip but that may be important for some learners. Bonus feature: “I try not to forget what it’s like to start learning to program from scratch, no matter how many times I teach the course.”

By Ana Bell,

Why should I read it?

1 author picked Get Programming as one of their favorite books, and they share why you should read it.

What is this book about?

Whether readers want to become a professional software developer,
create web sites, analyze scientific data, or just automate tedious
business tasks, learning to program is the first step. Fortunately,
learning to program doesn't have to be difficult.


Get Programming: Learn to code with Python introduces you to the
world of writing computer programs without drowning you in
confusing jargon or theory that make getting started harder than it
should be. By working through the examples and exercises in 39 bitesize
lessons, you'll learn how to code step-by-step by creating your
own programs with the beginner-friendly Python language! With
crystal-clear illustrations,…


Book cover of Python for Everyone

Daniel Zingaro Author Of Learn to Code by Solving Problems: A Python Programming Primer

From my list on for a rock solid python programming foundation.

Why am I passionate about this?

Some programmers learn through online articles, videos, and blog posts. Not me. I need a throughline—a consistent, expert distillation of the material to take me from where I am to where I want to be. I am not good at patching together information from disparate sources. I need a great book. I have a PhD in computer science education, and I want to know what helps people learn. More importantly, I want to know how we can use such discoveries to write more effective books. The books I appreciate most are those that demonstrate not only mastery of the subject matter but also mastery of teaching.

Daniel's book list on for a rock solid python programming foundation

Daniel Zingaro Why did Daniel love this book?

I used this book for several years starting in 2013 when the first edition came out. It absolutely holds up today. Learning the Python language (the syntax) is one thing. Learning how to design programs using this syntax is another. We need both but, unfortunately, many books forgo the latter for the former. Not this book! I like the Problem Solving and Worked Example sections: they help learners apply a disciplined, step-by-step strategy to programming projects. There are multiple, varied contexts here as well, which helps capture a broader base of learners. Bonus feature: the Computing & Society boxes.

By Cay S. Horstmann, Rance D. Necaise,

Why should I read it?

1 author picked Python for Everyone as one of their favorite books, and they share why you should read it.

What is this book about?

Python for Everyone, 3rd Edition is an introduction to programming designed to serve a wide range of student interests and abilities, focused on the essentials, and on effective learning. It is suitable for a first course in programming for computer scientists, engineers, and students in other disciplines. This text requires no prior programming experience and only a modest amount of high school algebra. Objects are used where appropriate in early chapters and students start designing and implementing their own classes in Chapter 9. New to this edition are examples and exercises that focus on various aspects of data science.


Book cover of High Performance Django

Arun Ravindran Author Of Django Design Patterns and Modern Best Practices

From my list on Django for building solid web apps in Python.

Why am I passionate about this?

I’ve been dabbling in Python for the last 22 years. I am a regular speaker at Pycon India ever since its inception. Most of my talks are related to Django. I host arunrocks.com where I write tutorials, and articles and publish screencasts on several Django and Python topics. My initial screencast titled "Building a blog in 30 mins with Django" is one of the most popular screencasts for beginners in Django. I’m a developer member of the Django Software Foundation.

Arun's book list on Django for building solid web apps in Python

Arun Ravindran Why did Arun love this book?

Building scalable and performant web applications is both an art and a science. This book focused on such techniques and hence goes beyond what most books on Django try to cover. Anyone running a Django site under heavy load will definitely learn a few tips from this book. However, it is light on explanations and expects you to figure out many things from reading the examples.

By Peter Baumgartner, Yann Malet,

Why should I read it?

1 author picked High Performance Django as one of their favorite books, and they share why you should read it.


Book cover of Beyond the Basic Stuff with Python: Best Practices for Writing Clean Code

Naomi R. Ceder Author Of The Quick Python Book

From my list on to level up your Python skills.

Why am I passionate about this?

I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together. 

Naomi's book list on to level up your Python skills

Naomi R. Ceder Why did Naomi love this book?

Al is one of the clearest writers on Python that I know. Here he distills his experience as both a working software engineer and a successful author to take coders from advanced beginner/intermediate level on to all of the “extra” knowledge one needs to write good code for practical use. When I read this book I find myself wishing I could write with such simplicity.

By Al Sweigart,

Why should I read it?

1 author picked Beyond the Basic Stuff with Python as one of their favorite books, and they share why you should read it.

What is this book about?

You're a student who wants to jumpstart their career with practical skills, or you're a self-taught beginner who has learned all you can from beginner programmer books and coding bootcamps. Now you're looking for the next step to becoming a real-world professional programmer so you can create your own apps and get started with your career. If that fits, then this book is for you! This book is perfect for self-taught programmers looking for the stuff intro books don't teach you and students wanting to get practical information before getting started with applying their new programming skills.


Book cover of Python Distilled

Naomi R. Ceder Author Of The Quick Python Book

From my list on to level up your Python skills.

Why am I passionate about this?

I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together. 

Naomi's book list on to level up your Python skills

Naomi R. Ceder Why did Naomi love this book?

Dave is the best teacher of programming and how programming languages (and Python specifically) work that I’ve ever met. He has a knack for making explanations of tough concepts seem clear, and he is very good at focusing on what’s essential to using a coding technique or structure and how to write good code. Like all of Dave’s books, the stuff in here just makes sense.

By David Beazley,

Why should I read it?

1 author picked Python Distilled as one of their favorite books, and they share why you should read it.

What is this book about?

Expert Insight for Modern Python (3.6+) Development from the Author of Python Essential Reference

The richness of modern Python challenges developers at all levels. How can programmers who are new to Python know where to begin without being overwhelmed? How can experienced Python developers know they're coding in a manner that is clear and effective? How does one make the jump from learning about individual features to thinking in Python at a deeper level? Dave Beazley's new Python Distilled addresses these and many other real-world issues.

Focusing on Python 3.6 and higher, this concise handbook focuses on the essential core…


Book cover of Automate the Boring Stuff with Python: Practical Programming for Total Beginners

Christopher Trudeau Author Of Django in Action

From my list on books for coders shelf.

Why am I passionate about this?

My first computer was an early IBM PC back when all my friends had Commodores they used for gaming. Not being able to share their games meant I had to do something else, so I read the Introduction to Basic book that came in the box. I’ve been coding, reading about coding, writing about coding, teaching about coding, and talking about coding ever since. The world of technology moves so fast that it is hard to keep up. If you’ve taken one of my courses or listened to The Real Python Podcast, I hope you’ve heard about my passion for the topic. 

Christopher's book list on books for coders shelf

Christopher Trudeau Why did Christopher love this book?

When I work with students new to programming I often find they struggle with translating the toy problems in exercises to actually doing something in the real world.

I love this book and frequently recommend it to new programmers because it is centered around problems. Coding should be about making your life easier. At the beginning, the problems are small, but by the end, you’re learning about email, PDFs, and GUIs.

Sweigart has a great voice, and reading this feels like being guided by a friend rather than yet another coding textbook.

By Al Sweigart,

Why should I read it?

1 author picked Automate the Boring Stuff with Python as one of their favorite books, and they share why you should read it.

What is this book about?

In this second edition of Automate the Boring Stuff with Python, you'll learn the basics of programming in Python, the fastest growing programming language today, before moving on to create Python programs that effortlessly perform useful and impressive feats of automation. This updated edition is full of step-by-step instructions that walk through each programme. Practice projects at the end of each chapter challenge you to improve those programmes and use your newfound skills to automate similar tasks.


Book cover of Python Testing with Pytest: Simple, Rapid, Effective, and Scalable

Jaime Buelta Author Of Python Automation Cookbook

From my list on for Python and non-Python developers.

Why am I passionate about this?

Since I was a kid, I’ve been passionate about technology and had a clear vocation to work with computers. I’ve been a developer for more than 20 years now, spending half of them mainly in the Python environment, and I’ve always been interested in improving my skills. While it’s true that software development is a field that changes constantly and technology evolves at great speed, there are some elements that remain relatively unchanged and can be used to compound knowledge and ability. In particular, the elements that are closer to the human element, teamwork, coordination, etc. are quite stable over time.

Jaime's book list on for Python and non-Python developers

Jaime Buelta Why did Jaime love this book?

While this is a Python-specific book, it’s a fantastic description of all the possibilities for testing with a powerful module like Pytest offers. Testing is one of the basic experiences for a programmer, as it should be included as a core part of the development process. Understanding all the different options available like mark groups of tests, parametric tests, building your own extensions, or test coverage, to name only a few details, expands the understanding of how to design better tests and run them more efficiently.

By Brian Okken,

Why should I read it?

1 author picked Python Testing with Pytest as one of their favorite books, and they share why you should read it.

What is this book about?

Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how. For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing…


Book cover of Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

Naomi R. Ceder Author Of The Quick Python Book

From my list on to level up your Python skills.

Why am I passionate about this?

I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together. 

Naomi's book list on to level up your Python skills

Naomi R. Ceder Why did Naomi love this book?

I like this book not just because it’s a complete guide to the many ins and outs of data cleaning with Python, but also because David lays out the types of problems and the issues behind them. There are always trade-offs in data cleaning and this book lays out those trade-offs better than any other I’ve seen. This is one of the few books that as I go through it, I struggle to think of anything that could have been said better. 

By David Mertz,

Why should I read it?

1 author picked Cleaning Data for Effective Data Science as one of their favorite books, and they share why you should read it.

What is this book about?

Think about your data intelligently and ask the right questions

Key Features Master data cleaning techniques necessary to perform real-world data science and machine learning tasks Spot common problems with dirty data and develop flexible solutions from first principles Test and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description

Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the…


Book cover of Python for Everybody: Exploring Data in Python 3
Book cover of Hello World! A Complete Python-Based Computer Programming Tutorial with Fun Illustrations, Examples, and Hand-On Exercises.
Book cover of Get Programming: Learn to Code with Python

Share your top 3 reads of 2024!

And get a beautiful page showing off your 3 favorite reads.

1,593

readers submitted
so far, will you?

5 book lists we think you will like!

Interested in python, video games, and rock music?

Python 30 books
Video Games 101 books
Rock Music 247 books