A strong Python interview is not a memory contest. Interviewers want to see whether a candidate can explain trade-offs, identify edge cases, debug calmly, and write code that another person can maintain. Questions about lists, dictionaries, functions, exceptions, modules, and classes test fundamentals, but the follow-up usually tests judgment.
Prepare in groups rather than memorizing 50 isolated answers. Review data structures, mutability, iterators, generators, decorators, context managers, testing, packaging, and concurrency. Then practice explaining when one approach is preferable to another. For example, an iterative solution may be clearer than recursion, while a generator may reduce memory use.
Include practical exercises with incomplete requirements. Ask clarifying questions, state assumptions, write a simple solution, and test it with boundary cases. Candidates who communicate their reasoning often demonstrate more value than candidates who produce a clever answer without explanation.