Introduction
Welcome to our website dedicated to learn data structures and algorithms in C++.
This site provides a comprehensive guide to help you understand the fundamental concepts and implementations of various data structures and algorithms.
Mastering data structures and algorithms is crucial for writing efficient and scalable code, solving complex problems, and excelling in programming interviews.
Data Structures
-
Arrays
Learn about static and dynamic arrays, their operations, and use cases.
-
Linked Lists
Understand the concept of linked lists, their types (singly, doubly, and circular), and their advantages and disadvantages.
-
Stacks
Explore the stack data structure, its operations (push, pop, and peek), and its applications.
-
Queues
Learn about queues, their operations (enqueue and dequeue), and their variants like circular and priority queues.
-
Trees
Study different types of trees (binary, binary search, AVL, and more), their properties, and traversal algorithms.
-
Graphs
Understand graphs, their representations, and algorithms for graph traversal, shortest paths, and more.
-
Hash Tables
Explore hash tables, their implementation, collision handling techniques, and use cases.
Algorithms
-
Sorting Algorithms
Learn about various sorting algorithms like bubble sort, merge sort, quick sort, and their time complexities.
-
Searching Algorithms
Understand linear and binary search algorithms, their implementations, and time complexities.
-
Graph Algorithms
Study algorithms for graph traversal (BFS and DFS), shortest path (Dijkstra's and Floyd-Warshall), and more.
-
Dynamic Programming
Explore the concept of dynamic programming, its principles, and its applications in solving complex problems.
-
Greedy Algorithms
Learn about greedy algorithms, their approach, and how they can be used to solve optimization problems.
-
Divide and Conquer
Understand the divide and conquer strategy, its principles, and its applications in algorithms like merge sort and quick sort.
Resources
-
C++ Tutorials
Learn C++ from scratch or brush up on your skills with comprehensive tutorials and resources.
-
Online Coding Platforms
Practice coding problems and participate in coding challenges on platforms like LeetCode, HackerRank, and CodeForces.
-
Books and e-Books
Explore a curated list of books and e-books covering data structures, algorithms, and problem-solving techniques.
-
Video Lectures
Watch video lectures from renowned instructors and universities to enhance your understanding of key concepts.
-
Practice Problems
Access a collection of practice problems categorized by data structures and algorithms, with solutions and explanations.