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Python Coding Challenges

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925 challenges 556 easy 323 medium 46 hard
Math & Number Theory easy

Euler Totient Function

Implement Euler's totient function φ(n) for positive integers.

math number-theory totient
+10 pts 15m
Math & Number Theory easy

Prime Factorization

Return a sorted list of prime factors of a positive integer, including repeated factors.

prime math loops
+10 pts 15m
Math & Number Theory easy

Sum of divisors

Given an integer n, return the sum of all its positive divisors.

divisors math number-theory
+10 pts 15m
Math & Number Theory easy

Perfect Number Check

Write a function that returns True if a number is perfect, i.e., equal to the sum of its proper divisors.

math divisors number-theory
+10 pts 15m
Math & Number Theory easy

Abundant Number Check

Implement a function to check whether a given integer is abundant: sum of proper divisors exceeds the number.

math divisors number-theory
+10 pts 15m
Math & Number Theory easy

Armstrong Number Check

Implement a function that checks if a given integer is an Armstrong number.

arithmetic number-theory validation
+10 pts 10m
Math & Number Theory medium

Extended Euclidean Algorithm

Implement the extended Euclidean algorithm to return (gcd, x, y) such that ax + by = gcd(a, b).

gcd extended-euclidean number-theory
+30 pts 25m
Math & Number Theory easy

Deficient Number Check

Write is_deficient(n) that returns True if the sum of proper divisors is less than n.

math number-theory divisors
+8 pts 8m
Math & Number Theory easy

Kaprekar number check

Check whether a given non-negative integer is a Kaprekar number in base 10.

math number-theory integer-properties
+10 pts 15m

Showing 1–9 of 9 challenges · Math & Number Theory

Math & Number Theory — Python coding challenges

What you will find here

This page lists math & number theory challenges — real Python problems you solve in the browser IDE with instant test feedback. Each challenge includes a clear brief, starter code, and automated checks.

Challenges vs tutorials and quizzes

Challenges test what you can build under constraints. For guided teaching, use our Python tutorials. For quick checks, try quizzes or copy snippets from code samples.