Functions and OOP: Recursion

A function in Python can call itself. That’s what recursion is. And it can be pretty useful in many scenarios.

The common way to explain recursion is by using the factorial calculation.

The factorial of a number is the number n multiplied by n-1, multiplied by n-2… and so on, until reaching the number 1:

3! = 3 * 2 * 1 = 6
4! = 4 * 3 * 2 * 1 = 24
5! = 5 * 4 * 3 * 2 * 1 = 120

Using recursion we can write a function that calculates the factorial of any number:

def factorial(n):
    if n == 1: return 1
    return n * factorial(n-1)

print(factorial(3)) #   6
print(factorial(4)) #  24
print(factorial(5)) # 120

If inside the factorial() function you call factorial(n) instead of factorial(n-1), you are going to cause an infinite recursion. Python by default will halt recursions at 1000 calls, and when this limit is reached, you will get a RecursionError error.

Recursion is helpful in many places, and it helps us simplify our code when there’s no other optimal way to do it, so it’s good to know this technique.

Lessons in this unit:

0: Introduction
1: Functions
2: Lambda functions
3: Nested functions
4: ▶︎ Recursion
5: Closures
6: Objects
7: Classes
8: Polymorphism
9: Operator overloading

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