DSA with C & C++ Programming

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

Starting with C programming fundamentals, the book progresses to C++ programming and Object-Oriented Programming before covering important Data Structures and Algorithms. Readers will learn arrays, strings, pointers, functions, recursion, linked lists, stacks, queues, hashing, trees, heaps, graphs, searching, and sorting.

The book also introduces C++ STL and advanced algorithmic techniques such as divide and conquer, greedy algorithms, dynamic programming, recursion and backtracking, graph algorithms, and complexity analysis.

With practical coding examples, problem-solving exercises, and real-world applications, this book is designed for students, programmers, developers, and interview candidates who want to build strong DSA skills using both C and C++.

What You Will Learn
C Programming Fundamentals
Variables, Data Types, and Operators
Conditional Statements and Loops
Functions and Recursion
Arrays and Multidimensional Arrays
Strings and String Manipulation
Pointers and Pointer Arithmetic
Dynamic Memory Allocation
Structures, Unions, Enums, and Typedef
File Handling in C
C++ Programming Fundamentals
Classes and Objects
Object-Oriented Programming
Constructors and Destructors
Encapsulation, Inheritance, and Polymorphism
Function and Operator Overloading
Templates and Exception Handling
C++ Standard Template Library (STL)
Vector, List, Deque, Stack, and Queue
Set, Map, Multiset, and Multimap
Priority Queue
Iterators and STL Algorithms
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
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