Python is an object-oriented programming language and a must-learn for programmers. It is also described as an interpreted, high-level language, which helps programmers build logical code for large and small-scale projects. When you want to gain in-depth knowledge of a particular area or subject, books are the best way to learn. In this article, we have compiled some of the best books with good ratings. Here are the best Python books for beginners and intermediate developers.
1. Learning Python by Mark Lutz
This book will help us to quickly write efficient, high-quality code with Python. It’s an ideal way to start, whether we’re new to programming or a professional developer versed in other languages. We’ll also learn some advanced language features that recently have become more common in Python code.
2. Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming by Eric Matthes
Python Crash Course is the most comprehensive guide to the Python programming language. Getting to grips with Python will be a breeze when we take this fast-paced introduction to programming. If we’ve been thinking about digging into programming, Python Crash Course will get us writing real programs fast. The book is well presented with good explanations of the code snippets.
3. Python Programming for Beginners: The Ultimate Guide for Beginners to Learn Python Programming: Crash Course on Python Programming for Beginners by AMZ Publishing
This book walks us through how to write our first Python code. It introduces us to variables, data types, and a wide range of operators. The book provides a solid review of Python’s syntax structure for variables, data types, operators, classes, objects, inheritance, conditional statements and loops, lists, tuples, dictionaries, functions, modules, packages, reading, and writing files, etc.
4. Python: Learn Python in One Day and Learn It Well. Python for Beginners with Hands-on Project. LCF Publishing and Jamie Chan
Complex concepts are broken down into simple steps to ensure that we can easily master the Python language. The examples are carefully chosen to illustrate all concepts. The book ends with a complete project requiring the use of all the concepts discussed so far. It is written in a “to-the-point” style to accommodate the busy individual. With this book, we can learn Python in just one day and start coding immediately.
5. Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code by Zed Shaw
In Learn Python 3 the Hard Way, we’ll learn Python by working through 52 brilliantly crafted exercises. Read them. This Book is perfect for total beginners with zero programming experience or junior developers who know one or two languages.
6. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney
The purpose of this book is to show readers how to manipulate, process, clean, and crunch data using Python. A practical, modern introduction to Python data science tools is presented in this book. It’s a great introduction to data science and scientific computing for scientists and analysts new to Python.
7. Fluent Python: Clear, Concise, and Effective Programming by Luciano Ramalho
The purpose of this hands-on guide is to show us how to write effective, idiomatic Python code by leveraging Python’s most useful and overlooked features. The author takes us through Python’s core language features and libraries. It shows us how to make our code shorter, faster, and more readable.
8. Head First Python: A Brain-Friendly Guide by Paul Barry
With Head First Python, we’ll quickly grasp Python’s fundamentals, working with the built-in data structures and functions. Based on the latest research in cognitive science and learning theory, Head First Python uses a visually rich format to engage our minds.
9. Python Tricks: A Buffet of Awesome Python Features by Dan Bader
The Book explains Python’s best practices with simple examples and a step-by-step narrative. Learning the input and output of Python is difficult—and with this book, we’ll be able to focus on the practical skills that really matter. Python’s standard library contains a lot of “hidden gold”, so find it and start writing clean Python code today.
10. Object-Oriented Python: Master OOP by Building Games and GUIs by Irv Kalb
Object-Oriented Python is an intuitive and comprehensive guide to learning object-oriented programming from scratch. The book covers two fully functional Python code packages that will speed up the development of graphical user interface (GUI) programs in Python.
11. Python Cookbook by David Beazley and Brian K. Jones
The book is intended for more experienced Python programmers looking to enhance their knowledge of the language and modern programming idioms. There is a strong emphasis on some of the more advanced techniques used by libraries, frameworks, and applications. This book is perfect for people who want to learn Python 3 or update older Python 2 code. This unique cookbook is a must-have for Python programmers who want to master modern tools and idioms. It has recipes written with Python 3.3 and tested with it.
12. Deep Learning with Python by Francois Chollet
This book is ideally suited to people who want a meaningful introduction to the most significant concepts in Deep Learning. The book can be read by people without any programming experience or linear algebra skills. As you move through this book, we’ll build our understanding through intuitive explanations, crisp color illustrations, and clear examples. We’ll quickly pick up the skills we need to start developing deep-learning applications.
13. Python for Everybody: Exploring Data in Python 3 by Charles R. Severance
This is an excellent book. There are lots of relevant links and some complete and useful data-handling examples. A Python is a powerful tool for developing your ideas into working applications and this book is exemplary for learning how to do just that without becoming tedious and boring. The aim of Python for Everybody is to introduce students to programming and software development through the lens of data exploration. This book makes use of the Python 3 programming language.
14. Python Basics: A Practical Introduction to Python 3 by David Amos, Dan Bader, Joanna Jablonski, and Fletcher Heisler
In Python Basics, we will not only learn the fundamental concepts we need to know but also learn them in the most efficient way possible through practical exercises and interactive quizzes. Programmers will benefit greatly from this book. Anyone who needs to learn and implement the material will find this to be one of the best books available.
15. Mastering Python for Networking and Security: Leverage the scripts and libraries of Python by José Manuel Ortega
This book covers a range of topics, from building a network to the procedures we need to follow to secure it. Starting by exploring different packages and libraries, we’ll learn about various ways to set up a network and connect with the Tor network through Python scripting. We will also learn how to assess a network’s vulnerabilities using Python security scripting. By the end of this Python book, we’ll be able to use Python to build secure apps using cryptography and steganography techniques.
16. Learn Python Quickly: A Complete Beginner’s Guide to Learning Python, Even If You’re New to Programming by Code Quickly
The book makes learning Python simple, fast, easy, and takes away the confusion of learning a new language. It is easy to feel overwhelmed when learning a new language, not knowing where to start or how to proceed. This book follows a step-by-step guide, walking us through everything we need to know about Python in an easy-to-follow fashion. It will teach us all the basics of Python, and even some of the more advanced Python concepts, taking us from beginner to intermediate Python programmers.
17. PYTHON ALGORITHMS: A Complete Guide to Learn Python for Data Analysis, Machine Learning, and Coding from Scratch by Michael Scratch and Eric Scratch
To help us create our own algorithms in Python, this book contains all the basics, the most relevant and commonly used codes. It is comprehensive in details, descriptions, and instructions. This book provides a detailed explanation of the Python approach to algorithm design and analysis. The best way to learn Python for data analysis and machine learning is to read this complete and ultimate guide.
18. Effective Python: 90 Specific Ways to Write Better Python by Brett Slatkin
The book is suitable for both beginners and experienced programmers. The code examples and explanations are well-written, concise, and thorough. Using Effective Python’s second edition, you will master a real Pythonic approach to programming, taking full advantage of Python’s full power to create exceptionally robust and well-performing code.
19. Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas C. Müller and Sarah Guido
A really comprehensive introduction to Machine Learning and the theory behind some key algorithms. If we use Python, even as a beginner, this book will teach us practical ways to build our own machine learning solutions. With so much data at our fingertips, machine learning applications are only limited by our imaginations. The authors focus on the practical aspects of using machine learning algorithms, rather than the math behind them.
20. Think Python: How to Think Like a Computer Scientist by Allen B. Downey
Well written, easy to understand, and very affordable. There are also extra resources available which are very useful. If we want to learn how to program, working with Python is an excellent way to start. Using this hands-on guide we will learn the language in a step-by-step fashion, starting with the basics before moving on to functions, recursion, data structures, and object-oriented design.
Conclusion
The above-listed Python books will inform you about the language and enable you to learn it if you are just getting started with programming or need to learn the language to help you with your project. Let your friends and colleagues know about these Python books if you liked them.