Python Programming

Language internals and idioms interviewers probe for beyond basic syntax.

Concepts

Lists, tuples, dicts, and sets — their underlying implementations and when each is the right choice.

Concise, often faster ways to build sequences — and the lazy-evaluation alternative that avoids materializing them at all.

Classes, inheritance, and the @dataclass shortcut for the common case of a class that's mostly just data.

Wrapping a function's behavior without changing its code, and guaranteeing setup/teardown runs even when something fails.

Why Python threads don't parallelize CPU work, and the two real ways around it: multiprocessing and asyncio.