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Top Interview Questions for Python Full Stack Developers (2025 Edition)

By Shweta | 31th July 2025

Pro Tip: Interviewers are not only looking for theoretical answers but also real-world understanding and practical application of full stack concepts.

Section 1: Python Core Concepts

1. What are the key features of Python?

  • Interpreted, dynamically typed, high-level, OOP, large standard library.

2. Explain list comprehension and give an example.

squares = [x * x for x in range(10)]

3. What is the difference between is and == in Python?

  • is checks object identity; == checks value equality.

**4. How are *args and kwargs used in function definitions?

5. What is a Python generator? How does yield work?

6. Explain the concept of Python decorators.

7. What are Python data types? Mutable vs. Immutable?

8. What are Python lambda functions and where are they used?

9. How does Python handle memory management and garbage collection?

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

Section 2: Django / Flask (Backend)

11. Describe Django’s MVT architecture.

  • Model (data), View (logic), Template (UI rendering).

12. How do you create REST APIs with Django REST Framework?

13. What is the role of serializers in DRF?

14. Difference between function-based views (FBV) and class-based views (CBV)?

15. How is authentication handled in Django (Session, Token, JWT)?

16. What is middleware in Django? How do you create custom middleware?

17. Explain the use of signals in Django.

18. How does Django ORM work? Give an example query.

19. What are QuerySets? How do filter() and exclude() work?

20. How do you handle file uploads in Django?

Also read: Why Python Full Stack is Perfect for Startups

Section 3: Frontend (HTML, CSS, JavaScript, React)

21. What is the difference between null and undefined in JavaScript?

22. Explain the box model in CSS.

23. What is React? How is it different from traditional JS frameworks?

24. What are React hooks? Describe useState and useEffect.

25. How does the Virtual DOM improve performance?

26. Explain component lifecycle in React.

27. What is the purpose of keys in React lists?

28. How does conditional rendering work in React?

29. How do you handle forms and inputs in React?

30. Explain controlled vs uncontrolled components.

Deep dive: From Backend to Frontend: Python Full Stack Explained

Section 4: API Development & REST

31. What is REST? What are the standard HTTP methods?

32. What is the difference between PUT and PATCH?

33. How do you implement pagination in Django REST Framework?

34. How do you secure REST APIs?

35. What is CORS and how do you enable it in Django?

36. How do you handle API versioning in Django REST Framework?

37. Explain status codes 200, 201, 204, 400, 401, 403, 404, 500.

38. How would you test a REST API manually? What tools do you use?

Section 5: Database (SQL, NoSQL)

39. What are the different types of relationships in Django models?

40. How do you perform migrations in Django?

41. What is the difference between select_related and prefetch_related?

42. What are atomic transactions? How are they used in Django?

43. How do you connect Django to PostgreSQL?

44. What are indexes in databases?

45. How do you manage schema changes in large applications?

46. What is denormalization and when would you use it?

Section 6: DevOps, CI/CD, Deployment

47. How do you deploy a Django + React application in production?

48. What is Docker and how would you use it for full stack apps?

49. What is the difference between Gunicorn and uWSGI?

50. How do you serve static files in production using Django?

51. What is the purpose of NGINX in deployment?

52. What is the role of .env files? How do you manage secrets?

53. What is a reverse proxy?

54. How would you set up GitHub Actions or Jenkins for CI/CD?

Related read: AWS Training for DevOps Engineers: What You’ll Learn

Section 7: System Design & Architecture

55. How would you design a scalable blog using Django and React?

56. What are microservices? When should you use them?

57. What is service discovery? How would you implement it in a microservice architecture?

58. How would you design a notification system (e.g., email, push)?

59. What is caching? How would you use Redis with Django?

60. How do you handle background tasks in Django? (e.g., Celery)

Section 8: Coding & Problem Solving

61. Write a Python program to remove duplicates from a list.

62. Write a Python function to check for palindromes.

63. Implement a REST API endpoint to fetch user posts in Django.

64. Write a JavaScript function to debounce input.

65. Convert a nested JSON object into a flat object in Python.

Bonus: Real-World & Behavioral Questions

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