Tackle Python tasks under time pressure

Q: Tackle Python tasks under time pressure

This question evaluates practical Python coding skills, the ability to pose clarifying questions, enumerate and reason about edge cases, produce clean readable code, and summarize time and space complexity along with a minimal test plan within a timed data engineering exercise.

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Data Manipulation (SQL/Python) questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master data manipulation (sql/python) interviews.

Question

In a 15-minute coding round, implement a small Python function or class to solve a well-scoped problem within about 5 minutes of coding.

State 1–2 clarifying questions you would ask before coding.
Enumerate important edge cases and how your solution handles them.
Provide clean, readable code and explain your formatting choices.
Briefly describe time and space complexity and outline a minimal test plan.

Tackle Python tasks under time pressure

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