The Page Turner
A medium Python mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Python
- Difficulty
- medium
- Seniority
- L4
Interview Prompt
Implement a Paginator class that takes a list of pages (each page is itself a list of items) and iterates through all items across all pages in order. It must support the Python iterator protocol (`__iter__` and `__next__`): `__iter__` returns the iterator and `__next__` yields the next item, raising `StopIteration` when every page is exhausted. Empty pages must be skipped silently, and an empty list of pages yields nothing. Then write a top-level driver `paginate(pages)` that constructs a `Paginator` over the pages and returns the flattened item sequence as a list (`list(Paginator(pages))`). The grader calls `paginate(pages)` and expects the flattened items in page-then-item order.
Summary
Nobody loads everything at once.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your python solution with real code execution
- Get instant feedback and a hire/no-hire decision