DSA with C Programming

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

Starting with the fundamentals of C, the book gradually progresses to arrays, strings, pointers, structures, recursion, searching, sorting, linked lists, stacks, queues, trees, heaps, hashing, graphs, and advanced algorithmic techniques.

The book also explains time and space complexity, algorithm design, optimization, recursion and backtracking, greedy algorithms, dynamic programming, and graph algorithms. Practical examples and real-world problems help readers understand how data structures and algorithms are applied in software development.

What You Will Learn
Introduction to C Programming
Variables, Data Types, and Operators
Input and Output
Conditional Statements
Loops and Control Statements
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
Introduction to Data Structures
Abstract Data Types
Algorithm Fundamentals
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
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
Queue Using Linked Lists
Hashing and Hash Tables
Collision Handling
Trees and Tree Terminology
Binary Trees
Binary Search Trees
Tree Traversal Techniques
Heaps and Priority Queues
Heap Sort
Graph Data Structures
Graph Representation
Breadth-First Search (BFS)
Depth-First Search (DFS)
Shortest Path Algorithms
Minimum Spanning Tree
Recursion and Backtracking
Greedy Algorithms
Divide and Conquer
Dynamic Programming
Algorithm Optimization
Problem-Solving Techniques
Competitive Programming Fundamentals
Coding and Interview Problems
Real-World Applications of Data Structures and Algorithms