Top Python Interview Questions for Developers (With Answers)

Anil ParmarAnil Parmar
3 min read

If you're looking to hire Python developers or preparing for a technical screening yourself, you need to be well-versed in the most relevant and frequently asked Python Interview Questions. Python continues to dominate the tech world in 2025 due to its versatility in web development, data science, AI, and FinTech.

Whether you’re a hiring manager, a startup founder, or a Python developer brushing up for your next opportunity, these Python questions (with answers) will help you assess skills or ace your interview. And if you're building strong teams, don’t overlook the value of working with expert Python Development Services.

Why Python Interview Questions Matter in 2025

H2: Python is Ubiquitous in Tech Hiring

Python is everywhere — from automation scripts to machine learning models and FinTech platforms. That’s why identifying capable Python developers through technical interviews is crucial.

H3: Key Hiring Challenges

  • Candidates may memorize questions but lack real-world understanding.

  • Interviewers often lack structured question sets.

H4: Benefits of Structured Interview Questions

  • Standardizes evaluation criteria

  • Reduces hiring biases

  • Assesses practical coding skills

Top Python Interview Questions (with Answers)

1. What are Python's key features?

Answer: Python is dynamically typed, interpreted, high-level, and supports multiple paradigms like procedural, object-oriented, and functional programming.

2. Explain the difference between list and tuple.

Answer: Lists are mutable; tuples are immutable. Lists consume slightly more memory and have more built-in methods.

3. What is a Python dictionary, and how is it used?

Answer: A dictionary is a key-value data structure. It’s useful for fast lookups, storing configurations, and object mappings.

4. What are Python decorators?

Answer: Decorators are functions that modify the behavior of other functions or methods, often used for logging, validation, or enforcing access control.

5. How is memory managed in Python?

Answer: Python uses automatic memory management, with reference counting and a built-in garbage collector to reclaim unused memory.

Python Developer Interview: Advanced Questions

6. What’s the difference between deep copy and shallow copy?

Answer: Shallow copies create references to original objects, while deep copies recursively copy objects and sub-objects.

7. What are generators in Python?

Answer: Generators are iterators created using yield keyword. They are memory-efficient and lazy-loaded.

8. How do you handle exceptions in Python?

Answer: Using try-except blocks. Optionally, finally and else blocks can be used to manage cleanup or alternate flows.

9. What are Python’s global and nonlocal keywords?

Answer: global declares global scope variables; nonlocal allows access to variables in enclosing scopes (not global).

10. What is the GIL (Global Interpreter Lock)?

Answer: GIL is a mutex that protects access to Python objects, limiting multi-threaded performance in CPython.

Python Coding Questions to Assess Developers

Common Python Coding Challenges:

  • Reverse a string without using slicing

  • Detect duplicate elements in a list

  • Implement a Fibonacci series generator

  • Sort dictionary by values

  • Build a RESTful API using Flask or Django

These Python coding questions help identify real-time problem-solving and logical thinking.

Tips for Interviewers

H3: Craft a Balanced Question Set

  • Mix basic and advanced Python interview questions

  • Include real-world scenario-based problems

  • Time-box the coding tasks

H3: Evaluate Practical Fluency

  • Let candidates explain their logic

  • Ask about performance considerations

  • Consider cultural and collaborative fit

How Python Development Services Add Value

Partnering with trusted Python Development Services helps companies skip the lengthy vetting process and onboard vetted talent with proven experience across frameworks, API integrations, and scalable application builds.

Final Thoughts: Building Your Python Dream Team

Whether you're scaling up your product or working on internal digital transformation, you need developers who can do more than write syntax — they should build smart, scalable solutions. These Python Interview Questions are a stepping stone to finding those talents.

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Written by

Anil Parmar
Anil Parmar