Best Python Books for Beginners and Experts

Python is an extremely popular language to learn and is perfect for beginners as it easy to understand. With the growing popularity of the language, opportunities are also growing. Luckily, there is no shortage of excellent books to learn Programming when it comes to Python. Having this in mind, there are plenty of resources to learn likely books or online resources.

If you wish to learn Python Programming there are plenty of books out there in the market. Books give you the ability to learn on your own f you are at the go and they go in detail. With the abundance of resources out there it can be difficult to identify which book suits your requirements. We have listed Best Books for Python that help programmers of all levels be it, beginners or code wizards.

Best Python Books for Beginners

We have curated a list of Best Books for Python in the below sections. Go through them and have knowledge right from basics to general programming concepts and how they apply to Python. It is a great language for machine learning experts, data scientists, statisticians, and web enthusiasts.

Python Crash Course

Python Crash Course by Eric Matthews gives a comprehensive introduction to Python Language for Beginners. This book helps you in writing real programs in no time. This is not just for beginners and can be great for those who have a vague understanding of language and wish to brush up their knowledge.

Once you begin referring to the book you will learn how to use libraries and tools like Numpy and matplotlib, work with data to create great visualizations. Have an idea about 2D Games, Web Applications and how to create them. The book is split into two parts where the first part covers the basics of Python Programming.

You will get to know the working of Python Program and learn how to write clean and readable code. The second part follows a practical approach and helps you test your knowledge by providing different projects, simple web applications and data visualizations using Python Libraries.

  • Reading level: 10+ years
  • Paperback: 560 pages
  • Publisher: No Starch Press; 1 edition (8 December 2015)
  • Language: English

Head-First Python (2nd edition)

‘Head-First Python’ by Paul Barry is a quick and easy fix for you if you wish to learn programming without looking for counterproductive tutorials and books. You will gain a quick grasp of the fundamentals of Python Programming, work with built-in data structures and functions.

This book aims you build your exception handling, data wrangling, web application, and other concepts. Head First Python makes use of Visual Format rather than a test-based approach so that you can learn better.

  • Paperback: 624 pages
  • Publisher: O′Reilly; 2 edition (16 December 2016)
  • Language: English

Learn Python the Hard Way (3rd Edition)

In ‘Learn Python the Hard Way’ by Zed A. Shaw (3rd Edition) you need to read the code and type it precisely. Once typed, you need to fix the errors in the code and watch the programs run. These exercises will help you understand the working of the software, well-written program structure, avoid common mistakes in the code.

The book guides you in installing a Comple Python Environment to write an Optimized Code. You will have basic concepts like mathematics,  files, program design, loops, variables, strings, and data structures, among many others. It is ideal for those who wish to learn Python Programming.

  • Paperback: 320 pages
  • Publisher: Addison Wesley; 3 edition (1 October 2013)
  • Language: English

Must See: Machine Learning Books

Python Programming: An Introduction to Computer Science (3rd Edition)

Python Programming’ by John Zelle is the third edition of the original Python Programming Published back in 2004. It is an introduction to the art of programming. This book introduces you to programming, computer science, and other concepts, using Python language as the medium for beginners.

The Concepts in the books are discussed in a way that is suitable for beginners, which is quite engaging. This successful book follows the path paved by the first edition while testing students through time tested approach alongside teaching introductory computer science.

  • Paperback: 432 pages
  • Publisher: Franklin, Beedle & Associates Inc; 2nd Revised edition edition (7 May 2010)
  • Language: English

Think Python: How to Think Like a Computer Scientist

‘Think Python’ by Allen Downey gives you an introduction to Python Programming. Using the language you can create real-world programs and the book constitutes 20 sections that include a contributors list. You will have basic concepts such as variables, conditionals, functions, fruitful functions, and iteration.

And to the end, the book deals with core concepts like objects, inheritance, lists, stacks, queues, trees, and debugging. This book comes in a variety of formats that include Postscript, Gzipped Rar, PDF, and HTML. Users can download this book for free as the book is listed under the GNU Free Documentation License.

  • Paperback: 292 pages
  • Publisher: O′Reilly; 2 edition (15 December 2015)
  • Language: English

Best Python Books for Intermediate/Experts

Below is the selection of books from a few categories that can be used by Advanced Programmers. Candidates who want to brush up their concepts before testing practically on code can utilize these handy books over here. They make it easy for you to have strong concepts and apply them.

Python Cookbook: Recipes for Mastering Python 3 (3rd Edition)

You can master your programming skills in Python 3 using Python Cookbook’ by David Beazley and Brian K. Jones. This cookbook is filled with recipes tried and tested with Python 3.3. It is for those who wish to take the approach to modern tools and idioms instead of standard coding.

The book comes with complete recipes for various topics, covering Python Language and its uses and also tasks common for a large number of application domains. Some of the topics covered in the book are strings, data structures, iterators, concurrency, functions, modules, packages, classes, debugging, testing, and exceptions.

Each recipe has a sample code that the reader can use in their projects. The Code even has a discussion about the working of the code, how the solution works, etc.

  • Paperback: 708 pages
  • Publisher: O’Reilly Media; 3 edition (10 May 2013)
  • Language: English

Introduction to Machine Learning with Python: A Guide for Data Scientists

Most Commercial Applications and Projects have employed Machine Learning as an integral part. The Book by Sarah Guido and Andreas C. Muller teaches on how to use Python Programming to develop Machine Learning Solutions.

All throughout the book, you will learn the steps needed to create a rich machine learning application using Python and sci-kit-learn library. This book gives you a glimpse of fundamental concepts and advanced methods for model evaluation, the concept of pipelines. All in all this book provides you to enhance your data science skills.

  • Paperback: 392 pages
  • Publisher: O′Reilly; 1 edition (7 October 2016)
  • Language: English

Fluent Python: Clear, Concise, and Effective Programming

Fluent Python’ by Luciano Ramalho is your hands-on guide for writing effective python code with the neglected yet best features of the language. The author takes you through the libraries and features that make your code faster, Shorter and readable.

The Book covers various concepts like the python data model, functions as objects, data structures, control flow, object-oriented idioms, and metaprogramming. Advanced Programmers can learn about Python 3 and how to become proficient in this version of the language.

  • Paperback: 770 pages
  • Publisher: O′Reilly; 1 edition (28 August 2015)
  • Language: English

Programming Python: Powerful Object-Oriented Programming (4th Edition)

If you got to know the fundamentals of Python and now wanted to get some real work. It will give you an in-depth tutorial on various application Domains of Python like GUIs, Web and System Administration. This book deals with how databases use this language, front-end scripting layers, networking, text processing and many more.

The book explains the language syntax, commonly used tools, and programming techniques through a brief yet precise approach. It shows many examples that show correct usage and common idioms. It digs into the language as a software development tool with multiple examples illustrated for that purpose.

  • Paperback: 1632 pages
  • Publisher: O′Reilly; 4 edition (14 January 2011)
  • Language: English

Summary

We wish the data prevailing above related to Python Books has made it easy for you in enhancing your programming resources. If you feel any other books to be added to the list of above do drop us your suggestions via comment box we will check them out and add to the list. Stay tuned to our site for more updates on this.

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