Top 10 Python Books for Beginners

In this article i want to talk about Top 10 Python Books for Beginners, so first of all let’s talk about Python.


What is Python ?

Python is high level, interpreted, general-purpose programming language. It was first released in 1991 by Guido van Rossum.


  • Some of key features of Python include:
    • Easy-to-read syntax: Python has simple and clean syntax and makes it easy to learn and write code for both beginners and experienced programmers.
    • Dynamic Typing: Python uses dynamic typing, which means that you can assign values to variables without specifying their type. the type of variable is determined at runtime.
    • Object-Oriented Programming: Python is an object oriented programming language, which means that it supports the creation of objects, classes and methods to model realworld objects.
    • Large Standard Library: Python has large and comprehensive standard library that covers a wide range of tasks from web development to data analysis. this makes it easy to find and use pre written code for common tasks.
    • Interoperability: Python can work seamlessly with other programming languages, making it easy to integrate with existing codebases and to use it in a variety of applications.


Python is widely used in different domains including scientific computing, data analysis, web development, artificial intelligence and many more. Its popularity is due in part to its ease of use, its large community of developers, and the many available libraries and tools that make it easy to accomplish complex tasks.



Top 10 Python Books for Beginners

These are list of Python Top 10 Books for Beginners.

  1. “Python for Data Science Handbook” by Jake VanderPlas
  2. “Fluent Python: Clear, Concise, and Effective Programming” by Luciano Ramalho
  3. “Python Crash Course: A Hands-On, Project-Based Introduction to Programming” by Eric Matthes
  4. “Automate the Boring Stuff with Python: Practical Programming for Total Beginners” by Al Sweigart
  5. “Learning Python, 5th Edition” by Mark Lutz
  6. “Python Tricks: A Buffet of Awesome Python Features” by Dan Bader
  7. “Deep Learning with Python” by Francois Chollet
  8. “The Python Standard Library by Example” by Doug Hellmann
  9. “Effective Python: 90 Specific Ways to Write Better Python” by Brett Slatkin
  10. “Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow” by Sebastian Raschka



Learn More on Python


Leave a Comment