Understanding recursion and iteration is important for any programmer. These concepts are at the heart of how we design algorithms and solve problems in computer science. Recursion helps us tackle complex problems by breaking them into smaller, more manageable pieces. On the other hand, iteration is about repeating tasks in an organized way.

In this blog, we’ll explore recursion and iteration, their working principles, their pros and cons, and some scenarios of when to use them. We’ll also examine some practical examples and common mistakes to avoid.

## Recursion#

**Recursion** is a programming technique where a function calls itself to solve smaller instances of the same problem until it reaches a base case. This self-calling approach simplifies complex problems by breaking them into more manageable subproblems.

**Recursion in the real world **

Imagine standing between two parallel mirrors. When you look into one mirror, you see an infinite series of reflections of yourself. Each reflection is a smaller version of the previous one, continuing until it becomes too small to see. This is similar to how recursion works: each function call creates a smaller problem to solve, and these calls until they reach a trivial case that can be easily solved.