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Python Coding
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925 challenges 556 easy 323 medium 46 hard

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All Python Basics Strings & Text Lists & Arrays Dicts & Sets Functions & Closures OOP & Classes Data Structures & Algorithms Advanced Python Iterators & Generators Decorators & Context Managers Error Handling & Exceptions Regular Expressions Math & Number Theory Bit Manipulation Dynamic Programming Trees & Binary Trees Graphs & Graph Algorithms Recursion & Backtracking Greedy Algorithms Binary Search Two Pointers & Sliding Window Stacks & Queues Heaps & Priority Queues Linked Lists Matrix & 2D Arrays Datetime & Time Calculations Data Formats & Parsing SQL & SQLite Numpy & Vectorized Computing Cryptography & Hashing

Math & Number Theory easy

Catalan number

Implement a function that returns the nth Catalan number using dynamic programming.

math dynamic-programming combinatorics

Math & Number Theory easy

Stirling number

Implement a function to compute Stirling numbers of the second kind S(n,k).

stirling-numbers dynamic-programming combinatorics

Math & Number Theory easy

Stars and Bars Count

Implement stars_and_bars_count(n, k) which returns the number of ways to put n identical items into k distinct bins, with bins allowed to be empty.

combinatorics math combinations

Math & Number Theory medium

Multinomial coefficient

Write a function to compute the multinomial coefficient efficiently for given nonnegative counts.

combinatorics math division

Math & Number Theory medium

Binomial Coefficient

Implement a function to compute binomial coefficients modulo 10^9+7 for n up to 10^5.

modular-arithmetic combinatorics dynamic-programming

Showing 1–5 of 5 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.