Basics of recursion in python

Recursion is a powerful concept in programming that allows a function to call itself. It is particularly useful when solving problems that can be broken down into smaller, similar subproblems. In this article, we will explore different ways to solve the question “Basics of recursion in Python” using Python.

Solution 1: Using a simple recursive function

def print_recursion(n):
    if n > 0:
        print_recursion(n-1)
        print(n)

print_recursion(5)

In this solution, we define a function called print_recursion that takes an integer n as input. The function first checks if n is greater than 0. If it is, the function calls itself with n-1 as the argument. This creates a chain of recursive calls until n becomes 0. Then, the function starts printing the values from 1 to n in reverse order.

Solution 2: Using a helper function

def print_recursion_helper(n):
    def print_recursion(n):
        if n > 0:
            print_recursion(n-1)
            print(n)
    
    print_recursion(n)

print_recursion_helper(5)

In this solution, we define a helper function called print_recursion_helper that takes an integer n as input. Inside the helper function, we define the actual recursive function print_recursion. The helper function then calls the recursive function with the given input n. This approach allows us to encapsulate the recursive logic within a helper function, making the code more modular and easier to understand.

Solution 3: Using a loop instead of recursion

def print_recursion(n):
    stack = []
    while n > 0:
        stack.append(n)
        n -= 1
    
    while stack:
        print(stack.pop())

print_recursion(5)

In this solution, we use a loop instead of recursion to achieve the desired output. We create an empty stack and iterate from n to 1, pushing each value onto the stack. Then, we pop and print the values from the stack until it becomes empty. This approach eliminates the need for recursive function calls and can be more efficient in terms of memory usage.

After exploring these three solutions, it is clear that Solution 3, which uses a loop instead of recursion, is the better option. It achieves the same result without the overhead of recursive function calls, making it more efficient in terms of memory usage. Additionally, Solution 3 is easier to understand and implement for larger values of n.

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6 Responses

    1. Well, some of us actually enjoy taking ownership of our work and dont mind putting in the effort. Plus, relying on a personal assistant can be costly and may not always guarantee the desired outcome. Different strokes for different folks, I guess. 😊

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