Introduction to Python Programming is written for students who are beginners in the field of computer programming. This book presents an intuitive approach to the concepts of Python Programming for students. This book differs from traditional texts not only in its philosophy but also in its overall focus, level of activities, development of topics, and attention to programming details. The contents of the book are chosen with utmost care after analyzing the syllabus for Python course prescribed by various top universities in USA, Europe, and Asia. Since the prerequisite know-how varies significantly from student to student, the book’s overall overture addresses the challenges of teaching and learning of students which is fine-tuned by the authors’ experience with large sections of students. This book uses natural language expressions instead of the traditional shortened words of the programming world. This book has been written with the goal to provide students with a textbook that can be easily understood and to make a connection between what students are learning and how they may apply that knowledge.

Features of this book

  • This book does not assume any previous programming experience, although of course, any exposure to other programming languages is useful
  • This book introduces all of the key concepts of Python programming language with helpful illustrations
  • Programming examples are presented in a clear and consistent manner
  • Each line of code is numbered and explained in detail
  • Use of f-strings throughout the book
  • Hundreds of real-world examples are included and they come from fields such as entertainment, sports, music and environmental studies
  • Students can periodically check their progress with in-chapter quizzes that appear in all chapters

chapter 1|34 pages


chapter 2|32 pages

Parts of Python Programming Language

chapter 3|28 pages

Control Flow Statements

chapter 4|23 pages


chapter 5|29 pages


chapter 6|25 pages


chapter 7|25 pages


chapter 8|27 pages

Tuples and Sets

chapter 9|38 pages


chapter 10|22 pages

Regular Expression Operations

chapter 11|51 pages

Object-Oriented Programming

chapter 12|74 pages

Introduction to Data Science