This repository contains implementations and explanations of various data structures concepts in programming.

1. Introduction
2. List of Data Structures
   1. Array
   2. Linked List
   3. Stack
   4. Queue
   5. Tree
   6. Graph
   7. Hash Table
   8. Heap
   9. Trie
   10. Graph

Data structures are essential components in computer science and programming. They provide a way to organize and store data efficiently, enabling efficient algorithms and operations. This repository aims to cover various data structures, along with code implementations and explanations.

An array is a collection of elements, each identified by an index or a key. It is a basic and widely used data structure.

A linked list is a linear collection of elements where each element points to the next one in the sequence.

A stack is a collection of elements with two main principal operations: push, which adds an element to the collection, and pop, which removes the most recently added element.

A queue is a collection of elements that follows the First In, First Out (FIFO) principle.

A tree is a hierarchical data structure with a root element and subtrees of children with a parent node, representing a hierarchy.

A graph is a collection of nodes connected by edges, representing relationships between the nodes.

A hash table is a data structure that implements an associative array abstract data type, a structure that can map keys to values.

A heap is a specialized tree-based data structure that satisfies the heap property.

A trie, also known as a digital tree or prefix tree, is an ordered tree data structure that is used to store a dynamic set or associative array.

A graph is a collection of nodes connected by edges, representing relationships between the nodes.

To use any of the data structures in this repository, follow the instructions provided in each directory.

If you'd like to contribute to this repository, please follow the contribution guidelines.