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Data Structures in Python – Python interview questions

Data Structures in Python interview questions for placements and exams.

Subject: PythonDifficulty: Mixed14 questions in this set

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Python – Data Structures in Python questions (14)

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1. Which statement best describes lists and tuples in Python?

Difficulty: EasyType: MCQTopic: Lists Tuples

A list lets you add, remove, or replace items; a tuple does not. That is why lists are great for dynamic collections while tuples are good for fixed records. Because tuples are immutable, they can be used as dictionary keys when they contain only hashable values. This property makes tuples a safe choice for representing coordinates or composite keys.

Example code

t = (1,2,3)
# t[0] = 9  # TypeError
lst = [1,2,3]; lst[0] = 9

2. From Python 3.7 onward, what is guaranteed about dict iteration?

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Data Structures in Python – Python interview questions

Set overview

Python – Data Structures in Python questions (14)

1. Which statement best describes lists and tuples in Python?

2. From Python 3.7 onward, what is guaranteed about dict iteration?

Continue your preparation

3. What is the average time complexity to test membership in a Python set?

4. Which expression builds a list of squares from nums?

5. In Python 3.9+, which merges two dicts into a new one?

6. Which module implements a min-heap based priority queue?

7. How do you get the top 3 most frequent items using Counter?

8. Explain shallow copy versus deep copy for nested structures with an example.

9. How do you implement a stack and a queue in Python? Discuss complexity and when to use each.

10. Explain dictionary comprehension and one practical use case.

11. What is defaultdict? When is it helpful and what pitfalls should you avoid?

12. Which structure gives O(1) appends and pops at both ends for queues?

13. Which option fully copies a nested list so inner lists are independent?

14. When should you choose list, tuple, set, or dict? Explain with trade-offs.

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Data Structures in Python – Python interview questions

Set overview

1. Which statement best describes lists and tuples in Python?

2. From Python 3.7 onward, what is guaranteed about dict iteration?

Continue your preparation

3. What is the average time complexity to test membership in a Python set?

4. Which expression builds a list of squares from nums?

5. In Python 3.9+, which merges two dicts into a new one?

6. Which module implements a min-heap based priority queue?

7. How do you get the top 3 most frequent items using Counter?

8. Explain shallow copy versus deep copy for nested structures with an example.

9. How do you implement a stack and a queue in Python? Discuss complexity and when to use each.

10. Explain dictionary comprehension and one practical use case.

11. What is defaultdict? When is it helpful and what pitfalls should you avoid?

12. Which structure gives O(1) appends and pops at both ends for queues?

13. Which option fully copies a nested list so inner lists are independent?

14. When should you choose list, tuple, set, or dict? Explain with trade-offs.

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