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Python Programming

Author(s): Ritika Mehra

ISBN: 9789366602967

1st Edition

Copyright: 2025

India Release: 2025

₹550

Binding: Paperback

Pages: 400

Trim Size: 241 x 181 mm

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Python Programming is designed to support beginners in learning programming and to enhance their practical skills. It provides structured guidance through small, real-world-inspired programs, helping learners build a solid foundation in Python. Alongside covering essential syntax and core programming constructs, the book emphasizes problem-solving strategies and industry-relevant practices, making Python Programming equally valuable for students and aspiring developers aiming to apply Python in areas such as data processing, algorithmic scripting, and beyond.  Each chapter includes hands-on exercises, clearly explained code examples, and programming tasks that reinforce key concepts. To further support learning, the book features visual aids such as figures for better conceptual clarity and includes small projects at the end of each chapter that reflect real-world challenges. Appendices at the end cover advanced topics, making this text a comprehensive and modern resource for Python programming. This book aims to equip readers with the practical skills required to confidently develop small- to medium-scale projects in areas like game development, data science, web development, and more.

  • Step-by-Step Learning – Features a structured, beginner-friendly approach with supporting figures, illustrations, and discussions on modern tools and technologies.
  • For All Skill Levels – Designed for both beginners and experienced programmers, offering a versatile learning experience.
  • Industry-Relevant Skills – Emphasizes practical problem-solving techniques applicable in data science, web development, and automation.
  • Balanced Approach – Unlike overly theoretical local books, this text blends clear theoretical explanations with hands-on coding exercises and project-based learning.
  • Python Proficiency – Guides learners through Python syntax, helping them write optimized programs for small to medium-scale applications.
  • Advanced Appendices – Covers key topics like popular Python libraries (e.g., requests, matplotlib), Django and Flask app development, data science workflows, and open-source contribution.
  • Real-World Case Studies – Includes engaging projects like: Guess the Number (text game) / Snake Game (interactive) /Medical Image Classifier /Fraud Detection using ML / Titanic Survival Prediction / Game development with music and graphics.
  1. Getting Started with Python
  2. Python Basics: Operators & Decision Control Statements
  3. Data Structures in Python
  4. Functional Programming in Python
  5. Object-Oriented Programming (OOP) in Python
  6. Errors and Exceptions
  7. Modules and Packages
  8. Introduction to Graphical User Interface
  9. File Handling
  10. Debugging & Testing, Continuous Integration
  11. Concurrency and Parallelism
  12. Working with database
  13. Networking in Python
  14. Optimizing Python Code
  15. Packaging and Distributing Python Code
  16. Deployment and Cloud Computing
  17. Best Practices in Python
  18. Python Design Patterns
  19. Data Analytics in Python

Dr. Ritika Mehra Pro Vice Chancellor (Academic Operations & Developments)

Dev Bhoomi Uttarakhand University

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