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Recursion in Python: A Complete Guide

May 1, 2026
Updated May 14, 2026
30 min read

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Understand recursion in Python with clear explanations and practical examples. Learn how recursive functions use the call stack, the importance of base cases for termination, recursive vs iterative solutions for factorial, Fibonacci, palindrome checking, tree traversal, and backtracking algorithms. Covers Python recursion depth limits, tail recursion optimization, memoization with lru_cache for performance, and when to choose recursion over iteration for cleaner code.

Python function demonstrating multiplication through iterative addition

Explanation

  • The function multiply() implements multiplication using repeated addition instead of the standard multiplication operator
  • It initializes a result variable to zero and then adds the first parameter 'a' to itself 'b' times using a for loop
  • The loop iterates 'b' times, with each iteration adding 'a' to the running total stored in result
  • The final accumulated sum is printed to display the multiplication result of the two input parameters
  • When called with multiply(3,4), it calculates 3+3+3+3=12 and outputs the result 12
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Output

text

Recursive multiplication function implementation using repeated addition

Explanation

  • The function implements multiplication through recursive addition by repeatedly adding the first number to itself
  • Base case occurs when the second parameter equals 1, returning the first parameter directly
  • For all other cases, the function adds the first number to the result of calling itself with decremented second parameter
  • This approach demonstrates how multiplication can be conceptually understood as repeated addition
  • The final output displays 30 when multiplying 5 by 6 through this recursive process
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Output

text

This code defines a recursive function to calculate the factorial of a given number.

Explanation

  • The function fact takes a single argument number and checks if it is equal to 1.
  • If number is 1, it returns 1, which is the base case for the recursion.
  • If number is greater than 1, it recursively calls itself with number - 1 and multiplies the result by number.
  • The final line prints the factorial of 5 by calling fact(5), which computes 5! (5 factorial).
  • This implementation demonstrates the concept of recursion, where a function calls itself to solve smaller instances of the same problem.
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Output

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This code defines a recursive function to check if a string is a palindrome.

Explanation

  • The function palin takes a string text as input and checks its length.
  • If the length is 1 or less, it prints 'Palindrome' since single characters and empty strings are palindromes.
  • If the first and last characters of the string are the same, it recursively calls itself with the substring that excludes these characters.
  • If the first and last characters do not match, it prints 'Not a Palindrome'.
  • The function is tested with various strings to demonstrate its functionality.
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Output

text

Recursive Fibonacci sequence calculation function implementation

Explanation

  • The function implements a recursive approach to calculate Fibonacci numbers where each number equals the sum of the two preceding ones
  • Base cases are defined for months 0 and 1, both returning 1 as the initial values in the Fibonacci sequence
  • The recursive calls break down the problem by calling itself with reduced month values until reaching the base cases
  • The function demonstrates the classic mathematical definition F(n) = F(n-1) + F(n-2) with proper termination conditions
  • When executed with input 5, the function returns 8, representing the 5th Fibonacci number in the sequence
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Output

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Recursive Fibonacci implementation with memoization optimization for efficient computation

Explanation

  • The function implements a recursive approach to calculate Fibonacci numbers while storing previously computed values in a dictionary to avoid redundant calculations
  • It uses a base case dictionary initialized with {0:1, 1:1} to handle the first two Fibonacci numbers
  • When calculating memo(48, d), the function recursively computes fib(47) and fib(46) by referencing stored values in the dictionary
  • The memoization technique dramatically improves performance by reducing time complexity from exponential to linear
  • The final result represents the 48th Fibonacci number calculated efficiently through cached intermediate results
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Output

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Next in this series: Python Functions Interview Questions: Decorators & Closures →

Frequently Asked Questions

The function multiply implements multiplication using repeated addition by initializing a result variable to zero and adding the first parameter 'a' to itself 'b' times using a for loop.
The base case occurs when the second parameter equals 1, at which point the function returns the first parameter directly.
The function fact checks if the number is 1 and returns 1 as the base case; otherwise, it recursively calls itself with number - 1 and multiplies the result by number.
The function checks if the length of the string is 1 or less, or if the first and last characters are the same, recursively calling itself with the substring if they match.

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Recursion in Python: A Complete Guide | Madhu Dadi