# Introduction to the Stack Data Structure

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There's a data structure that stands tall and unwavering in the realm of programming, like a Jenga tower after a few turns. It's the stack! Stacks are simple, yet powerful, and have a unique way of storing and organizing data. Let's dive in and learn how stacks can give your code a new level of stability.

## What is a Stack?

Imagine a stack of plates in a cafeteria. You can only add or remove plates from the top. The same principle applies to a stack data structure. It's a linear data structure that follows the Last-In-First-Out (LIFO) principle, meaning the element added most recently is the first to be removed.

Stacks are used in various programming scenarios, such as managing function calls, handling undo/redo actions, or even parsing expressions.

## Operations on a Stack

A stack has two primary operations:

1. Push: Adds an element to the top of the stack.
2. Pop: Removes the top element from the stack.

Additionally, stacks often include a peek operation to view the top element without removing it and a way to check if the stack is empty.

Here's a simple pseudocode example of a stack:

``````stack.push("Plate 1")
stack.push("Plate 2")
stack.push("Plate 3")

print stack.pop() // Output: Plate 3
print stack.peek() // Output: Plate 2``````

## Implementing a Stack

A stack can be implemented using an array or a linked list. The choice depends on your specific use case.

### Array-based Stack

An array-based stack implementation uses an array to store the elements. The push operation adds an element at the end of the array, and the pop operation removes the last element. Array-based stacks have a fixed size, so you need to resize the array if the stack grows beyond its capacity.