DSA with C++ & Python Programming

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, collections, recursion, searching, sorting, linked lists, stacks, queues, hashing, trees, heaps, and graphs.

The book also introduces the C++ Standard Template Library (STL) and Python's built-in data structures and collections. Advanced algorithmic techniques such as divide and conquer, greedy algorithms, dynamic programming, recursion and backtracking, and graph algorithms are explained with practical examples.

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 powerful programming languages.

What You Will Learn
C++ Programming Fundamentals
Python Programming Fundamentals
Variables, Data Types, and Operators
Conditional Statements and Loops
Functions and Methods
Arrays and Multidimensional Arrays
Strings and String Manipulation
Pointers and References in C++
Dynamic Memory Management
Classes and Objects in C++
Object-Oriented Programming
Constructors and Destructors
Encapsulation, Inheritance, and Polymorphism
Templates and Exception Handling
Python Lists, Tuples, Sets, and Dictionaries
List and Dictionary Comprehensions
Object-Oriented Programming with Python
Introduction to Data Structures
Abstract Data Types
Algorithm Fundamentals
Problem-Solving Techniques
Time and Space Complexity
Big-O, Big-Theta, and Big-Omega
C++ Standard Template Library (STL)
Vector, List, Deque, Stack, and Queue
Set, Map, Multiset, and Multimap
Priority Queue
Iterators and STL Algorithms
Python Collections and Built-in Data Structures
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, HashSet, and Python Dictionaries
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