# Data Structures Tutorial

Data structures are essential components that help organize and store data efficiently in computer memory. They provide a way to manage and manipulate data effectively, enabling faster access, insertion, and deletion operations. Common data structures include arrays, linked lists, stacks, queues, trees, and graphs , each serving specific purposes based on the requirements of the problem at hand. Understanding data structures is fundamental for designing efficient algorithms and optimizing software performance.

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Overview:

## Array:

All Articles on Array Coding Practice on Array Quiz on Array Coding Practice on Array Recent Articles on Array

## Matrix:

All Articles on Matrix Coding Practice on Matrix Recent Articles on Matrix.

## Stack:

All Articles on Stack Coding Practice on Stack Recent Articles on Stack

## Queue:

All Articles on Queue Coding Practice on Queue Recent Articles on Queue

## Binary Tree:

All articles on Binary Tree Coding Practice on Binary Tree Recent Articles on Tree

## Binary Search Tree:

All Articles on Binary Search Tree Coding Practice on Binary Search Tree Recent Articles on BST

## Heap:

All Articles on Heap Coding Practice on Heap Recent Articles on Heap

## Hashing:

All Articles on Hashing Coding Practice on Hashing Recent Articles on Hashing

## Graph:

Introduction, DFS and BFS: All Articles on Graph Data Structure Coding Practice on Graph Recent Articles on Graph

Advanced Lists: Segment Tree: All articles on Segment Tree

Trie: All Articles on Trie

Binary Indexed Tree: All Articles on Binary Indexed Tree

Suffix Array and Suffix Tree: All Articles on Suffix Tree

AVL Tree:
Splay Tree: B Tree: Red-Black Tree: All Articles on Self-Balancing BSTs

K Dimensional Tree: Others: Recent Articles on Advanced Data Structures.

## Misc: Commonly Asked Data Structure Interview Questions | Set 1 A data structure for n elements and O(1) operations Expression Tree

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• Last Updated : 22 Feb, 2024