Data structures are an essential part of computer science and programming. They provide a way to organize and store data efficiently, making it easier to perform various operations on the data. In this article, we will explore different types of data structures and their uses.

## Arrays

An array is a collection of elements stored in contiguous memory locations. It allows for efficient random access to elements using their index. Arrays can store elements of the same type, making them useful for storing homogeneous data such as numbers or characters.

### Example:

**int** numbers[] = {1, 2, 3, 4, 5};

## Linked Lists

A linked list is a dynamic data structure that consists of nodes connected through pointers. Each node contains a value and a pointer to the next node in the list. Linked lists are useful when the number of elements is unknown or can change dynamically.

### Example:

**struct** Node {

**int** value;

**struct** Node* next;

};

**struct** Node* head = __nullptr;__

## Stacks

A stack is a last-in-first-out (LIFO) data structure where elements are inserted and removed from one end called the top. It follows the principle of “last in, first out.” Stacks are used in various scenarios like reversing strings or implementing recursive algorithms.

### Example:

**#include**<stack>

**std::stack**<**int**> stack;

stack.push(1);

stack.push(2);

stack.push(3);

**while** (!stack.empty()) {

**int** top = stack.top();

stack.pop();

*// Do something with the top element*

}

## Queues

A queue is a first-in-first-out (FIFO) data structure where elements are inserted from one end called the rear and removed from the other end called the front. Queues are used in situations where operations need to be performed in a specific order, such as handling requests or scheduling tasks.

### Example:

**#include**<queue>

**std::queue**<**int**> queue;

queue.push(1);

queue.push(2);

queue.push(3);

**while** (!queue.empty()) {

**int** front = queue.front();

queue.pop();

*// Do something with the front element*

}

## Trees

A tree is a hierarchical data structure that consists of nodes connected by edges. It starts with a root node and has child nodes branching out from it. Trees are used to represent hierarchical relationships, such as file systems or organization structures.

### Example:

**struct** Node {

**int** value;

**struct** Node* left;

**struct** Node* right;

};

**struct** Node* root = __nullptr;__

## Graphs

A graph is a non-linear data structure that consists of nodes connected by edges. It represents relationships between various elements and is widely used in social networks, maps, and routing algorithms.

### Example:

**#include**<vector>

**std::vector<std::vector<int>>** graph;

graph.resize(n);

graph[u].push_back(v);

graph[v].push_back(u);

## Conclusion

Data structures are the building blocks of efficient algorithms and software development. Each type of data structure has its own advantages and use cases. Understanding their properties and implementing them correctly can greatly enhance your programming skills.

*Note: The code examples provided are for illustrative purposes only and may require additional implementation details to work correctly.*

I hope this article has helped you gain a better understanding of different types of data structures. Now you can choose the appropriate data structure based on your specific requirements and solve problems more efficiently!

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