“Fundamentals of Data Structures and Algorithms in Python” is a structured and beginner-friendly guide designed for engineering students, beginners, and anyone starting their journey in Data Structures and Algorithms.

This book was developed from real study notes and focuses on building strong fundamentals, clear understanding, and practical problem-solving skills. Instead of overwhelming theory, the concepts are explained in a simple and logical manner with step-by-step examples, clean Python implementations, and visual diagrams.

The goal of this book is to help readers:
• Understand core DSA concepts with clarity
• Build strong problem-solving and logical thinking skills
• Learn how algorithms work internally
• Prepare for coding interviews and technical placements
• Gain confidence in implementing solutions using Python

The book covers essential topics such as:
• Arrays, Linked Lists, Stacks and Queues
• Recursion and problem-solving techniques
• Trees and Binary Search Trees
• Graphs and traversal algorithms
• Searching and sorting methods
• Algorithm analysis and efficiency
• Coding interview practice problems

Each chapter includes examples, diagrams, theoretical questions, and coding exercises to strengthen understanding and help students practice.

This book is ideal for:
• First and second year engineering students
• Beginners in programming
• Students preparing for internships and placements
• Anyone who wants a strong foundation in DSA using Python

Whether you are starting from scratch or revising fundamentals, this book provides a clear and structured path to mastering Data Structures and Algorithms.