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section: Interview Questions / interview questions
08 Jun 2026
placement brief / Interview Questions / interview questions / 08 Jun 2026

Python Data Structures Interview Questions 2026: 28 Q&A

28 Python data structures interview questions for 2026 with full answers, time complexity, list vs tuple vs set vs dict, collections module and predict-the-output snippets. Candidate-reported developer and data role favourites.

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Last Updated: June 2026 | Level: Freshers to Mid-Level | Read Time: ~16 min

Python's built-in data structures are interview gold because picking the right one signals real engineering judgement. Candidates report that list versus tuple, dict and set internals, and the collections module are guaranteed topics. This guide covers 28 questions with full answers, complexity guarantees, and predict-the-output traps. Behaviour reflects the official Python standard library documentation; confirm any complexity claim on the official docs.

Pair this with Python Interview Questions 2026 and Python List Dict Tuple Interview Questions 2026.


Table of Contents

  1. Lists and Tuples (Q1 to Q9)
  2. Sets and Dicts (Q10 to Q18)
  3. Collections Module (Q19 to Q24)
  4. Complexity and Advanced (Q25 to Q28)
  5. Predict the Output
  6. Complexity Cheat Sheet
  7. Frequently Asked Questions

Lists and Tuples

Q1. What is the difference between a list and a tuple? Easy


Q2. When would you choose a tuple over a list? Medium


Q3. What is list slicing? Easy

a = [0, 1, 2, 3, 4]
print(a[1:4])     # [1, 2, 3]
print(a[::-1])    # [4, 3, 2, 1, 0]

Q4. What is the difference between append and extend? Easy


Q5. How do you copy a list correctly? Medium


Q6. What is a list comprehension? Easy

squares = [x*x for x in range(5) if x % 2 == 0]  # [0, 4, 16]

Q7. What is the difference between sort and sorted? Medium


Q8. Are tuples completely immutable? Hard

t = (1, [2, 3])
t[1].append(4)     # allowed, t is now (1, [2, 3, 4])

Q9. How do you unpack a tuple or list? Easy


Sets and Dicts

Q10. What is a set and what is it good for? Easy


Q11. How does a set achieve O(1) lookup? Medium


Q12. What is the difference between a set and a frozenset? Medium


Q13. What set operations are supported? Easy

a, b = {1, 2, 3}, {2, 3, 4}
print(a & b)   # {2, 3}
print(a | b)   # {1, 2, 3, 4}

Q14. What is a dictionary in Python? Easy


Q15. How does a Python dict maintain insertion order? Hard


Q16. How do you safely access a missing dict key? Medium


Q17. What is a dict comprehension? Medium

inv = {v: k for k, v in {"a": 1, "b": 2}.items()}  # {1: 'a', 2: 'b'}

Q18. Can a list be a dict key? Medium


Collections Module

Q19. What is collections.Counter? Medium

from collections import Counter
print(Counter("banana"))          # Counter({'a': 3, 'n': 2, 'b': 1})

Q20. What is collections.defaultdict? Medium

from collections import defaultdict
groups = defaultdict(list)
groups["a"].append(1)   # no KeyError

Q21. What is collections.deque and why use it for queues? Medium


Q22. What is collections.namedtuple? Medium


Q23. What is collections.OrderedDict still good for? Hard


Q24. How do you implement an LRU cache in Python? Hard

from functools import lru_cache
@lru_cache(maxsize=128)
def fib(n): return n if n < 2 else fib(n-1) + fib(n-2)

Complexity and Advanced

Q25. What is the time complexity of common list operations? Medium


Q26. Why is x in a_list slow but x in a_set fast? Medium


Q27. What is a generator and how does it save memory? Medium

def squares(n):
    for i in range(n): yield i * i

Q28. What is the difference between a shallow and a deep copy? Hard


Predict the Output

Snippet 1

a = [1, 2, 3]
b = a
b.append(4)
print(a)

Output:

[1, 2, 3, 4]

Why: b = a aliases the same list, so appending through b is visible through a. Use a.copy() for an independent list.


Snippet 2

print([1, 2, 3] * 2)
print({1, 2} | {2, 3})

Output:

[1, 2, 3, 1, 2, 3]
{1, 2, 3}

Why: * repeats a list; | unions sets, de-duplicating the shared element.


Snippet 3

d = {"a": 1}
print(d.get("b", 0))
print("b" in d)

Output:

0
False

Why: get returns the default 0 without inserting, so the key "b" still does not exist.


Complexity Cheat Sheet

Operationlistdictsetdeque
index / key accessO(1)O(1) avgn/aO(1) ends
appendO(1) amortisedO(1) avgO(1) avgO(1)
pop frontO(n)n/an/aO(1)
membership (in)O(n)O(1) avgO(1) avgO(n)
insert middleO(n)n/an/aO(n)

Frequently Asked Questions

What data structure questions are most common in Python interviews in 2026?

Candidates report that the difference between list and tuple, how a dict and set achieve O(1) lookup, and when to use collections.deque or Counter are the most repeated Python data structure questions.

Do I need to know time complexity for Python built-ins?

Yes. Interviewers expect O(1) average for dict and set lookup, O(1) amortised for list append, and O(n) for list membership and front insert, which is exactly why deque is preferred for queues.

Is the collections module asked in interviews?

Frequently. Counter, defaultdict, deque, OrderedDict, and namedtuple all appear, with interviewers asking which one solves a given problem most cleanly.

Why can a tuple be a dict key but not a list?

Dict keys must be hashable, and hashability requires immutability. Tuples are immutable (assuming hashable contents) so they qualify, while lists are mutable and therefore unhashable.

When should I use a generator instead of a list?

Use a generator when the sequence is large or infinite and you process items one at a time, since it holds only the current state in memory rather than materialising the whole sequence.



Confirm any complexity guarantee on the official Python documentation before your interview. This guide reflects candidate-reported patterns and public preparation resources as of June 2026.

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