Explain Python lists, dicts, and concurrency
AppleSoftware Engineer · Technical ScreenLast updated
Explain Python lists, dicts, and concurrency evaluates SQL or pandas logic, joins, grouping, window functions, null handling, edge cases, and validation in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Explain the differences between Python lists and dictionaries (maps), including common operations and their average time complexity, iteration order guarantees, mutability, and memory behavior. Demonstrate how you would transform a list using map versus list comprehensions and when each is preferable. Explain the CPython Global Interpreter Lock (GIL) and how it impacts multithreading. When would you choose threading versus multiprocessing, and how would you share data safely (e.g., Queue, Lock, Event) while avoiding pitfalls like race conditions and deadlocks?
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