DSA with C & Python Programming (A Complete Guide to C and Python Programming, Data Structures, Algorithms, Problem Solving, Complexity Analysis, and Real-World Applications)

DSA with C & Python Programming is a practical and comprehensive guide to learning Data Structures and Algorithms using C and Python. 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 and Python programming fundamentals, the book gradually progresses to arrays, strings, pointers, lists, dictionaries, 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 evaluate algorithms and develop efficient solutions.

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

What You Will Learn
C Programming Fundamentals
Python 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 in C
Dynamic Memory Allocation in C
Structures, Unions, Enums, and Typedef
Lists, Tuples, Sets, and Dictionaries in Python
List and Dictionary Comprehensions
Object-Oriented Programming with Python
File Handling in C and Python
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
Dictionaries and Hash-Based Problems
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