Python interview questions for Senior Level

January 27, 2023
python interview questions

Intro

If you are goint to interview with Python on Senior Level in ScienceSoft - be prepared to aswer the following questions. Also live coding tests to solve some trivial problems and verify you knowledge of python syntax and programming capabilities.

  1. Can you explain the difference between a list and a tuple in Python and when you would use one over the other?
  2. How would you go about implementing a custom memory management strategy in Python?
  3. How would you optimize the performance of a Python codebase that is using a lot of for loops and if statements?
  4. Can you explain the difference between a shallow copy and a deep copy in Python and when you would use one over the other?
  5. How would you go about implementing a thread-safe cache in Python?
  6. Can you explain the difference between a generator and an iterator in Python and when you would use one over the other?
  7. How would you go about implementing a parallel processing strategy in Python?
  8. Can you explain how Python’s garbage collector works and how you would go about debugging issues with it?
  9. How would you optimize the performance of a Python codebase that is using a lot of recursion?
  10. Can you explain how Python’s name resolution works and how it affects the performance of a codebase?
  11. How would you go about implementing a custom logging system in Python?
  12. Can you explain the difference between a class level and an instance level variable in Python and when you would use one over the other?
  13. How would you optimize the performance of a Python codebase that is using a lot of regular expressions?
  14. Can you explain how Python’s import system works and how you would go about debugging issues with it?
  15. How would you go about implementing a custom error handling strategy in Python?
  16. Can you explain the difference between a list comprehension and a generator expression in Python and when you would use one over the other?
  17. How would you optimize the performance of a Python codebase that is using a lot of third-party libraries?
  18. Can you explain how Python’s memory management works and how you would go about debugging issues with it?
  19. How would you go about implementing a custom data serialization strategy in Python?
  20. Can you explain the difference between a class method and a static method in Python and when you would use one over the other?
  21. How would you optimize the performance of a Python codebase that is using a lot of database queries?
  22. Can you explain how Python’s exception handling works and how you would go about debugging issues with it?
  23. How would you go about implementing a custom security strategy in Python?
  24. Can you explain the difference between a decorator and a higher-order function in Python and when you would use one over the other?
  25. How would you optimize the performance of a Python codebase that is using a lot of network communication?
  26. Can you explain how Python’s dynamic typing works and how it affects the performance of a codebase?
  27. How would you go about implementing a custom data validation strategy in Python?
  28. Can you explain the difference between a lambda function and a regular function in Python and when you would use one over the other?
  29. How would you optimize the performance of a Python codebase that is using a lot of memory?
  30. Can you explain how Python’s multiprocessing works and how you would go about debugging issues with it?

Be prepared for interview !