● The book contains a comprehensive collection of over 900 end-of-chapter exercises, including both MCQs and programming exercises. The solutions to all the exercises are also available.

● The book includes coding conventions and best practices for writing efficient, readable, and maintainable code.

Description

This book provides a comprehensive and thorough introduction to Python, a popular programming language used by various top companies across various domains. Whether you are a novice starting your programming journey or an experienced programmer looking to expand your skill set, this book is designed to assist you in mastering core Python concepts.

Starting with the basics, this book guides you through the setup, basic commands, and key language rules. The book covers important ideas like different types of data, variables, and how to control the flow of your programs. You will also learn about collections for organizing data, functions for reusable code, modules for organizing bigger projects, and object-oriented programming for modeling real-world things. Advanced topics include customizing object behavior, efficient data processing, modifying function behavior, and handling errors gracefully.

The book includes many figures and coding examples to give you a visual and hands-on experience. There are numerous exercises that provide opportunities to further reinforce your knowledge. By the end of this book, readers will develop a strong foundation in core Python and will gain the confidence to excel in their studies and professional work.

What you will learn

● Develop programs using procedural, object-oriented, and functional paradigms.

● Understand complex topics like iterators, generators, and decorators.

● Learn how to create and use modules and packages.

● Master the advanced concepts of object-oriented programming.

● Learn how to handle errors in Python and interact with files.

● Automate resource management patterns using context managers.

Who this book is for

This book can be used by anyone who wants to learn Python from scratch. It can be a valuable resource for engineering students and students from other streams who have Python as part of their curriculum. This book facilitates a swift introduction to the language for individuals aiming to transition into data science, AI, or ML.

Table of Contents

1. Introduction to Python

2. Getting Started

3. Strings

4. Lists and Tuples

5. Dictionaries and Sets

6. Conditional Execution

7. Loops

8. Looping Techniques

9. Comprehensions

10. Functions

11. Modules and Packages

12. Namespaces and Scope

13. Files

14. Object Oriented Programming

15. Magic Methods

16. Inheritance and Polymorphism

17. Iterators and Generators

18. Decorators

19. Lambda Expressions and Functional Programming

20. Exception Handling

21. Context Managers

Solutions

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