The Python Pathway: From Fundamentals to Mastery

The Python Pathway: From Fundamentals to Mastery
E -ISBN : 978-93-7020-191-0
Print ISBN : 978-93-7020-245-0
Publisher: Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.
Publication date: 2025

DOI : https://www.doi.org/10.58532/PPFF

Chapter 1: Introduction to Python Programming
S.No. Topics
1. What is Python?
2. General Description of Python
3. Origin and Evolution
4. Comparison with other Languages
5. Installation of Python
6. Python Comments, Variables and Assignment Statements
7. Basic Style Guidelines
8. Concept of Dynamic Typing
9. Taking Input from the user

Chapter 2: Numbers and Strings
S.No. Topics
1. Introduction to Numbers
2. Integers, Floating Point Real Numbers, Complex Numbers
3. Sequence: Strings
4. String Built-In Functions
5. Operators in Python
6. Memory Management in Python

Chapter 3: Control Statements in Python
S.No. Topics
1. Introduction
2. Control Statements
3. Iterable Statements
4. Jump Statements

Chapter 4: Functions in Python
S.No. Topics
1. Introduction
2. Defining Functions
3. Function Arguments
4. Return Statement
5. Types of Functions
6. Scope and Lifetime of Variables
7. Recursion
8. Random Number Generation
9. import Keyword: Insights
10. math Module Functions

Chapter 5: Data Structures in Python
S.No. Topics
1. Introduction to Data Structures
2. Lists
3. Tuples
4. Dictionaries
5. Sets
6. NumPy Module

Chapter 6: Object Oriented Programming
S.No. Topics
1. Introduction
2. Classes and Objects
3. Constructors and Destructors
4. Inheritance
5. Polymorphism
6. Encapsulation
7. Method Overriding

Chapter 7: Strings and Regular Expressions: Insights
S.No. Topics
1. Formatting Strings
2. Concatenation and Repetition
3. Handling Whitespaces in Strings
4. Substrings, Searching, Replacing, Splitting, and Joining
5. Introduction to Regular Expressions
6. re Module
7. fullmatch Function
8. Accessing Matches

Chapter 8: Exception Handling and Multithreading
S.No. Topics
1. Introduction
2. Types of Exception Handling
3. try, except, else, finally
4. Raising Exceptions
5. Custom Exceptions
6. Introduction to Threads
7. Forking Threads
8. Synchronizing Threads
9. Programming Using Multithreading

Chapter 9: File Handling
S.No. Topics
1. Introduction
2. Opening and Closing of Files
3. Reading and Writing Files
4. File Methods and Attributes
5. Pandas Module
6. Working with CSV Files

Chapter 10: Database Interaction with Python
S.No. Topics
1. Introduction
2. SQL Database Connection using Python
3. Creating and Searching Tables
4. Reading and Storing Configuration Information in a Database
5. Programming Using a Database

AIM & SCOPE

In the fast-paced world of technology, programming languages play a crucial role in modern development. Among these, Python has distinguished itself as a highly versatile, powerful, and accessible language suitable for both beginners and experienced developers. With its straightforward syntax and vast array of libraries, Python stands out as an excellent choice for a diverse range of applications, including web development, data science, artificial intelligence, and much more.This book is specifically designed for students enrolled in MCA, BCA, B.Tech., and B.Sc. IT/CS programs, offering an in-depth guide to Python programming. It is ideal for newcomers to coding as well as those with some programming experience who wish to refine their skills. The content is carefully organized to ensure smooth progression from foundational concepts to more advanced topics, empowering readers to tackle real-world challenges using Python.The book consists of ten chapters, each addressing a key aspect of Python programming. It begins with an introduction to the language, covering its history, installation, and basic syntax. As the reader advances, the book delves into topics such as control structures, functions, data structures, object-oriented programming, regular expressions, exception handling, multithreading, file manipulation, and working with databases.To reinforce the concepts presented, special attention is given to practical examples, code samples, and exercises that encourage hands-on learning. Moreover, the book incorporates popular built-in modules like NumPy, Pandas, and re, enabling readers to fully leverage Python for tasks like data analysis, scientific computing, and pattern matching.The primary goal of this book is to bridge the gap between theoretical learning and practical application, helping readers gain a profound understanding of Python’s potential. By the end of the book, readers will be equipped to create robust applications and take their first steps toward becoming skilled Python developers.We would like to extend our sincere thanks to everyone who contributed to the development of this book. We hope this resource serves as a valuable tool for students, educators, and developers, igniting a lasting passion for programming and innovation.

Author's

Ms. Apoorva Verma
Assistant Professor in the
Department of Information Technology
at the Asian School of Business,
part of the esteemed Asian Education Group, Noida.

Dr. Leena Bhatia
Associate Professor at
S. S. Jain Subodh PG College
Jaipur.