Generator Pipeline
Implement a generator function that yields only even numbers from an input list, squared.
Prime Sieve Generator
Implement a generator function that yields prime numbers from 2 up to a specified limit, using an efficient sieve approach.
Window Iterator
Implement a generator that yields consecutive windows of a given size from any iterable.
Pairwise Sequence Pairs
Write a generator function pairwise that yields each consecutive overlapping pair from any iterable as lists.
Collatz Generator
Implement a generator function that yields the Collatz sequence starting from a given positive integer.
Digit Expansion Generator
Create a generator that lazily yields each decimal digit of a non-negative integer from most significant to least significant.
File Line Reader Generator
Implement a generator function that reads a file-like object and yields each non-empty line without loading the whole file into memory.
Yield from delegation
Implement a generator that flattens nested iterables of any depth using `yield from`.
Cartesian Product Generator
Implement a generator function that yields the Cartesian product of multiple input iterables without precomputing all results.
Batch Iterator
Implement a generator that yields batches of a given size from any iterable, including the final partial batch.
Zip Longest Fill
Create an iterator that yields lists from multiple iterables, padding with a fill value when lengths differ.
Graph DFS Generator
Implement a generator function that performs a depth-first traversal of a graph without recursion.
Close generator early
Wrap any iterable in a generator that tracks yielded items and supports close() correctly.
Showing 1–13 of 13 challenges · Iterators & Generators
Iterators & Generators — Python coding challenges
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This page lists iterators & generators 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.
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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.