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Python Interview Questions: The Topics That Come Up

By The EbookWale Team · Updated June 16, 2026 · 2 min read

Python interviews focus on data types and mutability, comprehensions, decorators, generators, the GIL, and OOP. Here's the topic map of what actually gets asked, with what to know for each.

Python interviews draw from a predictable set of topics — data types and mutability, comprehensions, decorators, generators, the GIL, OOP, and *args/**kwargs — plus a coding round on general data structures and algorithms. Know Python’s distinctive features fluently and you’re ready for most of it.

This is the topic map, with what to know and where to go deeper. Pair it with the language-agnostic coding interview roadmap for the algorithms side.

The concept topics

Data types and mutability

Know lists, tuples, sets, and dicts cold — when to use each, and the classic question: why can a tuple be a dict key but a list cannot? (Immutability and hashability.) This is the most common Python-specific topic.

Comprehensions

Be fluent in list, dict, and set comprehensions — interviewers expect idiomatic Python, and may ask you to rewrite a loop as a comprehension.

Decorators

Explain what a decorator is, write one, and know @functools.wraps. A favourite for testing whether you understand first-class functions.

Generators and yield

Explain how generators and yield work and why they save memory. Expect “what’s the difference between a list and a generator?”

The GIL and concurrency

Explain the GIL, why threads don’t parallelise CPU-bound work, and the threading-vs-multiprocessing-vs-async decision. A staple of senior Python interviews.

OOP and dunder methods

Classes, __init__, self, inheritance, and the dunder methods (__str__, __eq__, __repr__) that hook into Python’s data model.

*args and **kwargs

Know how *args and **kwargs collect and unpack arguments — and why decorators rely on them.

Quick-fire questions to expect

  • Difference between a list and a tuple? (mutability, and the dict-key consequence)
  • What does a decorator do? Write one.
  • List vs generator — when would you use each?
  • What is the GIL and when does it matter?
  • is vs ==? (identity vs value — see common mistakes)
  • What are *args and **kwargs?
  • How does __init__ differ from __new__?
🔑 REMEMBER — Python interviews reward idiomatic fluency plus runtime understanding: write comprehensions and decorators naturally, and be able to explain mutability, the GIL, and generators. Syntax alone isn't enough — they want to see you understand why Python behaves as it does.

A focused prep checklist

  1. Explain mutability, comprehensions, decorators, generators, and the GIL clearly.
  2. Predict output of mutability and closure gotchas (see common mistakes).
  3. Write a decorator and a generator from scratch.
  4. Practise the coding interview roadmap for the DSA round, in Python.

Where this fits

Python interview prep sits at the top of the Python roadmap (the Pythonic and internals layers) and connects to the general coding interview roadmap.

The conceptual topics and coding challenges are worked through in the job-ready Python in Three Months, and the deeper senior/staff material — the GIL, concurrency, the data model, memory — is in Python for Staff Engineers.

Know the topic map, write idiomatic Python fluently, and explain the runtime — that’s a Python interview handled.

Frequently asked questions

What topics come up most in Python interviews?

The recurring topics are data types and the mutable-vs-immutable distinction, list/dict/set comprehensions, decorators, generators and yield, the GIL and concurrency, OOP with dunder methods, and *args/**kwargs. Add coding challenges using these plus general data structures and algorithms, and you have most Python interviews covered.

What is asked in a Python interview for beginners?

Beginner Python interviews focus on core data types (list, tuple, set, dict) and the difference between them, mutability, basic OOP with classes and __init__, comprehensions, and simple coding problems involving strings and lists. Knowing why a tuple can be a dict key but a list cannot is a common one.

What advanced Python topics are asked in senior interviews?

Senior Python interviews probe the GIL and concurrency (threading vs multiprocessing vs async), decorators and how they work, generators and memory efficiency, the data model and dunder methods, metaclasses, and memory management. They test whether you understand the runtime, not just the syntax.

How do I prepare for a Python coding interview?

Master Python's distinctive features — comprehensions, decorators, generators, and the collection types — so you write idiomatic code fluently, then practise data structures and algorithms for the problem-solving round. Being able to explain the GIL, mutability, and how decorators work covers the most common conceptual questions.

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