Python Interview Questions
Practice Python interview questions on language fundamentals and common patterns. First 2 questions free with full AI feedback.
- Level Intermediate
- Questions 8
Try any track free — first 2 questions include full AI feedback. Subscribe to finish the track and unlock everything. Type or speak your answer — the first 2 questions include scoring and detailed AI feedback.
How to answer these python interview questions
Python interview questions check language fundamentals and how clearly you explain tradeoffs. Say the behavior first, then a short example: mutability, identity vs equality, lazy vs eager evaluation. Practice with a Python interview quiz so you get a score and detailed feedback after each prompt. Strong answers name the rule, why it matters in production code, and one pitfall. Try the first 2 Python interview questions free with full features, then subscribe to finish the track.
Sample python interview questions
Preview 6 questions from this track in quiz order. In the full quiz you answer one at a time — type or speak — then get a score and feedback.
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What is the difference between a list and a tuple in Python?
What a strong answer includes
Strong answer: lists are mutable and typically homogeneous sequences; tuples are immutable, hashable when contents are, and often used for fixed records.
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Explain the difference between `is` and `==` in Python.
What a strong answer includes
Strong answer: `==` compares value equality; `is` compares object identity (same object in memory). Mentions common pitfalls with interned small ints or None.
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Why is a mutable default argument (like `def f(x=[])`) a bug? How do you fix it?
What a strong answer includes
Strong answer: the default is created once at function definition and shared across calls. Fix with `None` as default and create a new list inside the function.
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How does a Python dict work, and what makes a good dict key?
What a strong answer includes
Strong answer: dicts are hash tables; keys must be hashable (immutable with a stable hash). Mentions average O(1) lookup and collision handling at a high level.
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When would you use a generator instead of returning a list?
What a strong answer includes
Strong answer: generators yield lazily, use less memory for large or infinite sequences, and are good for pipelines. Mentions `yield` vs building a full list.
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What is the difference between `@staticmethod` and `@classmethod`?
What a strong answer includes
Strong answer: staticmethod gets neither instance nor class; classmethod receives the class (`cls`) and is useful for alternate constructors.