Python is a programming language that has gained a lot of popularity in recent years. Many top companies are using it for their projects, and it is considered to be one of the most versatile languages out there. If you’re looking to learn Python in 2022, here are the 11 best python books to check.
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What is Python?
Python is a high-level, interpreted, general-purpose programming language created on December 03, 1989, by Guido van Rossum. It has an easy-to-read syntax and supports multiple paradigms, including structured, procedural, and object-oriented programming. Python also has a large online community that you can rely on for help.
Many large companies use Python for their projects. It is considered one of the most versatile languages out there and can be used on the backend, frontend, or full stack of a web application (Although it is mainly considered as a backend programming language, but can be used for both). In addition, Python has a wide variety of libraries that you can use for data analysis, machine learning, and artificial intelligence.
If you’re looking to learn Python in 2022, then check out these best Python books.
1. Python Tricks: A Buffet of Awesome Python Features(by Dan Bader )
Python Tricks is a collection of clever features, tricks, and tips for making your coding in Python more efficient. This book is perfect for experienced Python developers who want to learn about the language’s lesser-known features.
The author of this book explains the basics of using Python in a way that is easy for anyone who’s interested. He provides many helpful examples and methods that make it easier than ever before.
It covers topics such as comprehension, metaprogramming, decorators, and more. You’ll also learn how to write clean and idiomatic Python code.
Python Tricks will help you improve your Python skills and learn about some of the lesser-known features of the language. It covers topics such as comprehension, metaprogramming, decorators, and more. You’ll also learn how to write clean and idiomatic Python code.
If you’re an experienced Python developer looking to learn about the lesser-known features of the language, then check out Python Tricks.
2. Python Crash Course : (by Eric Matthes )
Python Crash Course is a fast-paced, hands-on introduction to Python that will teach you how to program in the language. It covers topics such as data types, variables, loops, and functions. You’ll also learn how to create graphical user interfaces (GUIs) and web applications with Python.
The author has written this book to act as a quick crash course for beginners with little programming experience. The introductory concepts are made easy. Thus, even those who have never touched code before can start implementing their knowledge on fun projects right away.
If you’re a beginner looking to learn Python quickly, then check out Python Crash Course.
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3. Automating Boring Stuff with Python: (by Al Sweigart )
As a programmer, there are moments every day where you have to do the same thing repeatedly. These tasks can be boring or repetitive. This book will help eliminate those monotonous jobs so that we never face them once more.
Some people believe that computers are only good for doing tedious tasks, but this couldn’t be further from the truth. With these easy-to-follow instructions, you can have your computer do all of those boring things in seconds instead.
The book is perfect for beginners who want to learn how to automate tasks using Python. It covers topics such as automating file management, data scraping, and more. You’ll also learn how to create your Python scripts to save you time and energy.
If you’re a beginner who wants to learn how to automate tasks using Python, then check out Automating Boring Stuff with Python.
4. Learning Python : (by Mark Lutz )
This book is the ultimate guide for anyone seeking to learn or master Python. It’s perfect whether you’re largely unknown with computer science or looking at diving deeper into programming languages like C# and JavaScript, which have been your favorites up until now but seem overwhelming because they are so different from what most people think about when thinking “fun”.
The second part of this book focuses on real-world examples and practical programming. The first part focuses on teaching you how to program with Python while being thorough and complete enough for those who want a solid foundation. It is also ideal if you just need more examples of real-life situations that allow you to enhance your programming skills.
This is the best book for beginners who want to learn Python. It covers all the basics of the language, including syntax, data types, control flow, and more. The book also shares knowledge on how to use Python for web development, scientific computing, data analysis, and more.
If you’re a beginner or an experienced programmer who wants to learn Python, then check out Learning Python.
5. Python for Data Analysis : (by Wes McKinney)
Python for Data Analysis is perfect for those who want to learn how to use Python for data analysis. It covers topics like loading data, cleaning data, exploring data, and more. The book will also help me gain skills on how to use popular Python libraries such as NumPy, pandas, matplotlib, and Seaborn.
Data analysis is an integral part of many tasks in modern society, and Python offers great tools for performing these operations. If you’re curious about whether or not data analytics might be useful when it comes to analyzing your own structured information (i.e., numbers), this is the book for you. This book will provide insight into how efficient programming languages like Java can make things.
If you’re looking to learn Python for data analysis, then check out Python for Data Analysis.
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6. Introduction to Machine Learning with Python : (by Andreas C. Müller and Sarah Guido)
As Machine Learning continues to evolve, we must keep up with the latest trends. To make sure your projects are on point and don’t get left behind in this fast-paced industry of ours, using languages like Python will help you stay ahead. This book will teach you the basics of machine learning without any prior experience.
Introduction to Machine Learning with Python is perfect for those who want to learn how to use Python for machine learning. It covers topics such as data pre-processing, model evaluation, and more. You’ll also learn how to use popular Python libraries such as Scikit-Learn, TensorFlow, and Keras.
If you’re looking to learn Python for machine learning, then check out Introduction to Machine Learning with Python.
7. Learn Python the Hard Way : (by Zed Shaw )
Don’t be intimidated by the name “Hard” on the title. The title just means that there are some tough lessons to be learned. But don’t worry, these pages will make everything easier for you and show how much knowledge goes into success with your new programming skillset.
Learn Python the Hard Way is perfect for those who want to learn how to program in Python. It covers topics like basic syntax, data types, variables, loops, and functions. You’ll also learn how to create graphical user interfaces (GUIs) and web applications with Python.
The author has done an amazing job making the complex seem simple with his easy-to-follow guide to learning Python. The book includes plenty of instructional videos and exercises that will help you master all fundamental concepts in no time (Available on YouTube).
If you’re a beginner looking to learn Python the “hard way”, then check out Learn Python the Hard Way.
8. Python Cookbook : (by Brian K. Jones & David Beazley)
The Python community is an amazing place with many unique challenges. This book is inspired by the recipes developed to solve those problems.
Python Cookbook is perfect for those who want to learn how to use Python for programming. It covers topics such as data structures, algorithms, and more. You’ll also learn how to use popular Python libraries such as NumPy, pandas, matplotlib, and Seaborn.
If you’re looking to learn Python for programming, then check out Python Cookbook.
9. Python Data Science Handbook : (by Jake VanderPlas )
Data science is a hot topic these days, and there are plenty of new skills to learn. The book will help you get started with data analysis, whether through programming or not.
This book is perfect for data scientists who want to learn how to use Python for data analysis. It covers topics such as loading data, cleaning data, exploring data, and more. Besides, the book will also teach you how to use popular Python libraries such as NumPy, pandas, matplotlib, and Seaborn.
If you’re looking to learn Python for data science, then check out the Python Data Science Handbook.
10. Effective Python : (by Brett Slatkin )
The book, “Effective Python” is a must-read for all programmers. The emphasis on readable code makes it easier to write and understand when your dogmas aren’t working as expected. It also allows you to understand when you need some help with something new coming into the programming world, like Data structures & algorithms (DSA).
Python is a powerful programming language that can be used for many things. Most developers learn Python because it’s flexible, easy to read and write—and if you want better ways of creating your code, this book will show them how.
Effective Python is perfect for experienced Python programmers who want to learn how to use the language effectively. It covers topics such as best practices, optimization techniques, and more. You’ll also learn how to write efficient code with Python.
If you’re looking to become an effective Python programmer, then check out Effective Python.
11. The Python Standard Library by Guido van Rossum
This is the official guide to the Python standard library, written by the creator of Python himself. It covers everything from data structures and algorithms to network programming and XML parsing.
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Best Python Books: Frequently Asked Questions
Is Python a backend or frontend programming language?
Python is best known for its ability to be used as a backend programming language. The main reason why many companies prefer Python over other languages is because it allows them to build applications in less time than the alternatives.
Also, it provides better support for web development using frameworks like Django and Flask which are popular among developers due to their simplicity and ease of use.
Python has a large number of libraries available for data manipulation which makes it easy to perform tasks like analyzing datasets with pandas or building machine learning models using scikit-learn. It also offers many tools that can be used to create websites such as Django, Flask (which is built on Python) and Pyramid (which is written in Python).
It also has an extensive standard library which provides functionality for many different tasks including string manipulation, math operations, input/output handling, database connectivity etc. As a result of this versatility it’s possible to build anything from small scripts up through enterprise applications using just one language. The best part is that Python is easy to learn, which means you can get started without having any prior experience.
Python can also be used as a frontend programming language. In this role, it’s often used in combination with frameworks like React or VueJS. These frameworks allow developers to create user interfaces and interactivity using JavaScript while the backend code is written in Python. This combination has proved to be very successful, and many companies are now using it for their projects.
What is the most comprehensive Python book?
The most comprehensive Python book is Learning Python by Mark Lutz. It covers everything from the basics to advanced topics, such as data science and machine learning. If you’re looking for a complete guide to learning Python, then this is the best book for you.
What should I read to learn Python?
When it comes to learning Python, there are many different options depending on your experience level and what you want to learn. If you’re a beginner, then I recommend reading “Learning Python by Mark Lutz.” It’s a comprehensive guide that will teach you everything you need to know about the language.
If you’re an experienced programmer, then I suggest reading “Python for Data Science Cookbook by Ivan Idris.” It teaches you how to perform data analysis with Python. You’ll learn about loading data, manipulating data, exploring data, and more.
How can I earn money with Python?
There are many different ways to make money with Python. One option is to become a freelance Python developer. There are many online platforms that can help you find work, and there are also many libraries and frameworks that allow you to build web applications quickly.
Another option is to become a data scientist. Data science is one of the most in-demand skills in the world, and Python is a popular language for data analysis. There are many courses and tutorials available that can teach you how to become a data scientist.
Python is also used in many different industries, such as finance, healthcare, and manufacturing. If you’re interested in using Python in your industry, then I suggest reading “Python for Finance by Yves Hilpisch”. It teaches you how to use Python in the world of finance and trading. If you’re looking for more information about other industries that use Python, then I suggest this article from RealPython: What Can You Do With Python? The Possibilities Are Endless.
Final Thoughts
Python is a versatile language that can be used for various purposes. These best Python books will teach you how to use the language effectively for data analysis, machine learning, and more. So if you’re looking to learn Python, then these books are a must-read.
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