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Python Interview Cheat Sheet

Top 50 interview questions with concise answers. Print this page or save as PDF for offline study.

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1. What are Python's key features?

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2. What is the difference between Python 2 and Python 3?

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3. What are Python data types?

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4. Explain Python variable scoping rules.

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5. How does Python manage memory?

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6. What are lists, tuples, sets, and dictionaries?

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7. Explain Python functions.

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8. What are Python modules and packages?

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9. Explain Python exception handling.

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10. What are Python decorators?

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11. How does Python handle file operations?

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12. Explain Python iterators and generators.

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13. How do Python comprehensions work?

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14. Explain *args and **kwargs.

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15. What are Python's built-in structures for stacks and queues?

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16. How does Python support OOP?

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17. How does Python handle memory for objects?

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18. How do you manage packages in Python?

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19. Explain Python's Global Interpreter Lock (GIL).

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20. What are __init__.py and __main__ used for?

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21. Explain Python's multiple inheritance and MRO.

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22. What are Python magic or dunder methods?

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23. What are Python metaclasses?

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24. Difference between iterators and iterables.

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25. How do generators improve performance?

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26. Explain Python decorators in depth.

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27. How does Python handle closures?

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28. Explain with statement and context managers.

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29. How do you perform logging in Python?

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30. How do you handle exceptions and create custom exceptions?

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31. How do you perform unit testing in Python?

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32. Advanced use of *args and **kwargs.

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33. Explain Python's itertools module.

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34. Explain functools and lru_cache.

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35. How do you handle file operations with context managers?

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36. How do you connect Python with databases?

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37. How do you implement serialization and deserialization?

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38. Explain Python's datetime and time modules.

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39. How do you implement caching in Python?

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40. How do you profile and optimize Python code?

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41. What are Python descriptors and how are they used?

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42. What is __slots__ in Python and why use it?

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43. Explain Python metaclasses and use cases.

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44. How does Python handle threading and concurrency?

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45. How do you implement asynchronous programming in Python?

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46. How do Python coroutines work?

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47. How do you implement concurrent futures for parallel tasks?

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48. How does Python handle sockets and networking?

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49. How do you make HTTP requests in Python?

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50. What are Python design patterns?

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