Mastering Python 3 Programming

Python 3s clear and concise syntax and extensive collection of built-in libraries and frameworks make it a powerful and versatile programming language. This comprehensive guide, "Mastering Python 3 Programming", is designed to take you from the ground up to proficiency, equipping you to create effective Python programs.

This book provides an extensive overview of Python programming, covering a diverse range of topics essential for understanding Python 3. Each chapter explores key concepts like Unicode strings, functions and recursions, lists, tuples, sets, and dictionaries, along with advanced topics such as object-oriented programming, file handling, exception handling, and more. With detailed explanations and real-life examples, you will be able to build a strong understanding of Python 3. Throughout the book, you will find useful concepts and Python libraries explained clearly, along with case studies, executable programs, exercises, and easy-to-follow style.

This book focuses on real-world Python applications, developing critical thinking and problem-solving skills. It prepares students for Python challenges, equipping them to contribute meaningfully in their fields. With a deep understanding of Python, students gain confidence to explore new opportunities and drive innovation.

KEY FEATURES

* Python 3 fundamentals, from data manipulation to control flow.
* Key concepts like data structures, algorithms, and Python applications, catering to a diverse audience.
* Beginner-friendly guide with step-by-step explanations and practical examples.

WHAT YOU WILL LEARN

* Set up IDLE for Python programming and execute programs.
* Adapt algorithm based problem-solving techniques.
* Utilize Python libraries for data visualization.
* Grasp data structures and common algorithms.
* Master decorators, file handling, exception handling, inheritance, polymorphism, and recursion in Python.

WHO THIS BOOK IS FOR

The target audience for this book includes undergraduate students from diverse academic backgrounds, including life sciences, mathematics, commerce, management, arts, and individuals who are new to computer science.

1. Introduction to Python 3
2. Algorithmic Problem Solving
3. Numeric Computations and Console Input
4. Unicode, Strings and Console Output
5. Selection and Loops
6. Functions and Recursion
7. Lists
8. Tuples, Sets, and Dictionaries
9. Introduction to Object-Oriented Programming
10. Inheritance and Polymorphism
11. File Handling
12. Exception Handling
13. Gems of Python
14. Data Structures and Algorithms using Python
15. Data Visualization
16. Python Applications and Libraries
Appendix 1: Python Projects
Appendix 2: List of Built-in Functions in Python
Appendix 3: Answers to Review Questions

Dr. Subburaj Ramasamy, currently an independent research professor, specializes in machine learning for artificial intelligence, programming languages, secure coding and software reliability engineering. He is an Udemy instructor and has published courses on machine learning, Python and C++. He served as a professor and consultant in the Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, for 17 semesters. Earlier, he was a Scientist “G”/ Senior Director in the Ministry of Electronics and Information Technology, Government of India. He obtained his PhD degree from the University of Madras. He holds a Masters degree from Indian Institute of Technology, Delhi and Bachelors degree from Alagappa Chettiar College of Engineering and Technology. He guided four research scholars till award of the Ph.D. degree, having published about 90 research papers in international journals and conferences with 500 citations. He was teaching and providing project guidance to B.Tech and M.Tech students at the School of Computing in SRMIST. Dr. Subburaj is an esteemed member of various associations, such as the Computer Society of India and IETE. He received the 17th IETE Lal C Verman Award in 2003. He is the author of several books on topics such as Total Quality Management, Software Reliability Engineering, Programming in Python, Programming in C, and Object Oriented Programming with C++. He was an authorized trainer of Carnegie Mellon University/SEI, USA, for software CMM and certified by Stanford University/ Course era on Machine Learning.