DSA with C & Java Programming

DSA with C & Java Programming is a practical and comprehensive guide to learning Data Structures and Algorithms using C and Java. The book combines programming fundamentals with essential data structures, algorithmic techniques, and problem-solving strategies to help readers develop strong programming and computational thinking skills.

Starting with C programming fundamentals and Java programming concepts, the book gradually progresses to arrays, strings, pointers, object-oriented programming, recursion, searching, sorting, linked lists, stacks, queues, hashing, trees, heaps, and graphs.

The book also covers advanced algorithmic techniques such as divide and conquer, greedy algorithms, dynamic programming, recursion and backtracking, and graph algorithms. Time and space complexity are explained with practical examples to help readers understand algorithm efficiency and develop optimized solutions.

With coding examples in both C and Java, problem-solving exercises, and real-world applications, this book is designed for students, programmers, developers, and interview candidates who want to strengthen their Data Structures and Algorithms skills using two widely used programming languages.

What You Will Learn
C Programming Fundamentals
Java Programming Fundamentals
Variables, Data Types, and Operators
Conditional Statements and Loops
Functions and Methods
Arrays and Multidimensional Arrays
Strings and String Manipulation
Pointers and Pointer Arithmetic in C
Dynamic Memory Allocation in C
Structures, Unions, Enums, and Typedef
Classes and Objects in Java
Object-Oriented Programming with Java
Encapsulation, Inheritance, and Polymorphism
Exception Handling
Java Collections Framework
ArrayList, LinkedList, HashSet, TreeSet
HashMap, TreeMap, Queue, Deque, and PriorityQueue
Introduction to Data Structures
Abstract Data Types
Algorithm Fundamentals
Problem-Solving Techniques
Time and Space Complexity
Big-O, Big-Theta, and Big-Omega
Arrays and Array-Based Problems
Searching Algorithms
Linear Search
Binary Search
Sorting Algorithms
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quick Sort
Heap Sort
Linked Lists
Singly Linked Lists
Doubly Linked Lists
Circular Linked Lists
Stack Data Structure
Stack Using Arrays and Linked Lists
Applications of Stacks
Queue Data Structure
Circular Queue
Priority Queue
Deque
Hashing and Hash Tables
HashMap and HashSet
Collision Handling
Trees and Tree Terminology
Binary Trees
Binary Search Trees
Tree Traversal Techniques
Heaps and Priority Queues
Min Heap and Max Heap
Graph Data Structures
Graph Representation
Breadth-First Search (BFS)
Depth-First Search (DFS)
Shortest Path Algorithms
Minimum Spanning Tree
Recursion and Backtracking
Divide and Conquer
Greedy Algorithms
Dynamic Programming
Memoization and Tabulation
Algorithm Optimization
Competitive Programming Fundamentals
Coding and Interview Problems
Real-World Applications of Data Structures and Algorithms