Description
Python Programming: from Basics to Applications
Book Details
Title: Python Programming: from Basics to Applications
Authors: Dr. Dibya Jyoti Bora, Dr. Rubul Kumar Bania
Publisher: Cogniverse Press, Jorhat, Assam, India
First Edition: April, 2026
ISBN: 978-93-47652-77-6 (Print Edition)
e-ISBN: 978-93-47652-19-6 (Digital Edition)
DOI: 10.5281/zenodo.19757851
Cover Designing: Cogniverse Press Digital Team
Copyright: © Authors
Preface
This book is designed to guide readers from the fundamentals of programming to practical applications using Python. It serves as a comprehensive learning resource for beginners as well as intermediate learners seeking stronger conceptual clarity and hands-on skills.
Each chapter presents structured explanations, practical examples, and exercises to make programming concepts clear, engaging, and relevant. The text gradually introduces advanced areas such as web development, data visualization, and machine learning.
The book aims to make Python programming accessible, effective, and inspiring, helping learners write efficient, readable, and scalable code.
About the Book
Python Programming: from Basics to Applications offers a systematic and practical introduction to Python programming. It is particularly suitable for students in undergraduate and postgraduate computing programs.
The book connects theoretical concepts with practical implementation, helping readers build analytical thinking and programming proficiency required in modern computing disciplines.
Target Audience
- Higher Secondary & School Students: Foundational learning in syntax, variables, and logic.
- Undergraduate Students: Suitable for BCA, B.Sc., B.Tech., diploma, and vocational IT programs.
- Postgraduate Learners: Useful for MCA, M.Sc., M.Tech., and advanced computing courses.
- Professionals: Ideal for upskilling in Data Science, Web Development, Machine Learning, and Automation.
- Beginners & Self-Learners: Structured pathway for independent learners.
Regional Context
Examples and datasets are contextualized to Northeast India, including references to regional geography, climate patterns, rainfall analysis, and local commerce. This approach improves engagement and practical understanding.
Key Themes
- Python fundamentals and syntax
- Problem-solving and control structures
- Functions, modules, and packages
- Object-Oriented Programming
- File handling and exception management
- Libraries such as NumPy and pandas
- GUI and web development
- Databases and APIs
- Data visualization
- Machine learning foundations
Table of Contents
Chapter 1. Introduction to Python
- 1.1 What is Python?
- 1.2 Features of Python
- 1.3 Real-World Applications of Python
- 1.4 Installing Python
- 1.5 Your First Python Program
Chapter 2. Python Basics
- Identifiers and Keywords
- Variables and Data Types
- Operators
- Input and Output
- Type Conversion
- f-Strings
- Memory Model of Python Variables
Chapter 3. Control Flow Statements
- Conditional Statements
- Loops
- Loop Control Statements
- Nested Loops
- Loop else Clause
- List Comprehensions
- Debugging Control Flow
Chapter 4. Functions and Modules
- Functions
- Parameters
- Returning Results
- Variable Scope
- Modules
- Lambda Functions
- Recursive Functions
- Docstrings
Chapter 5. Data Structures in Python
- Lists
- Tuples
- Sets
- Dictionaries
- List Slicing
- Dictionary Methods
- Shallow Copy and Deep Copy
Chapter 6. Object-Oriented Programming in Python
- Classes and Objects
- Inheritance
- Core OOP Principles
- Assam Tea Plantation Example
- Class Variables vs Instance Variables
Chapter 7. File Handling in Python
- Reading Files
- Writing and Appending Files
- File Modes
- File Exceptions
- Binary Files
- CSV Files
Chapter 8. Exception Handling in Python
- Errors and Exceptions
- try-except Block
- finally Block
- Custom Exceptions
Chapter 9. Modules and Packages
- Introduction to Modules
- Built-in Modules
- Import Variants
- Creating Modules
- Packages
- Third-Party Modules
Chapter 10. Working with Libraries
- Introduction to Libraries
- NumPy Basics
- pandas Basics
- Using NumPy and pandas Together
Chapter 11. GUI Programming with Tkinter
- Introduction to GUI
- Tkinter Basics
- Main Window
- Widgets
- Interactive Applications
- Layout Management
Chapter 12. Web Development Using Flask
- Introduction to Web Development
- What is Flask?
- Routing
- HTML Templates
- Benefits of Templates
Chapter 13. Advanced Python Concepts
- Generators
- Decorators
- Multithreading
Chapter 14. Database Programming with SQLite
- Databases
- Connecting to SQLite
- Insert and Read Data
- Update and Delete Records
- CRUD Operations
- Data Integrity and Security
Chapter 15. Data Visualization
- Introduction to Data Visualization
- Matplotlib Basics
- Plot Components
- Seaborn Enhancements
- Matplotlib vs Seaborn
Chapter 16. Introduction to Machine Learning
- What is Machine Learning?
- scikit-learn Introduction
- First ML Model
- Key Steps Explained
Chapter 17. Working with APIs and JSON
- What is an API?
- Understanding JSON
- First Web Request
- Handling API Errors
- Saving Web Data
Appendices
- Appendix A
- Appendix B
- Appendix C
- Appendix D
- Appendix E
- Appendix F
- Appendix G
Reviews
There are no reviews yet.