Python – Interview Questions Simplified

1. What are the differences between Python 2 and Python 3?
2. List out popular package managers for Python.
3. What are Python’s built-in data types?
4. What is the difference between =, == and === in Python?
5. How to create a dictionary in Python?
6. What is the difference between a list and a tuple?
7. What is a module and how to import a module in Python?
8. How to remove duplicates from a list?
9. How to slice a list in Python?
10. What are the different ways to iterate over a list?
11. What is the difference between pop and remove along with append and extend in a list?
12. What is a named tuple and what is tuple unpacking in Python?
13. What is a lambda function, give an example.
14. What are *args and **kwargs in Python?
15. How to handle exceptions in Python?
16. What is the difference between break and continue?
17. How is the pass statement is used in Python?
18. What is with statement used for?
19. What is the purpose of the help() in Python?
20. How to check the type of a variable in Python?
21. What is the difference between keys(), values(), and items() in a dictionary?
22. What is the difference between split() and join()?
23. How to swap the values of two variables in Python?
24. How to join a list of characters into a string?
25. What is the purpose of the format() in strings?
26. How to reverse a string in Python?
27. Format a string using the % operator?
28. How to list all files in a directory using Python?
29. What is the difference between r, w, a and b modes when opening a file?
30. What is the readline() used for?
31. What is PEP 8?
32. How to ensure code compatibility between Python 2 and 3?
33. What is a list comprehension in Python?
34. How to manage dependencies in Python projects? Discuss about pip, virtualenv and pipenv.
35. What are Python’s data model methods (dunder methods) or magic methods? Provide examples of commonly used dunder methods and their purposes.
36. How to create a class in Python?
37. What are the differences between static, class, and instance in Python?
38. How to use super() in Python?
39. What is the difference between a decorator and a generator in Python?
40. What is GIL in Python?
41. Explain the differences between synchronous, asynchronous, and concurrent programming in Python.
42. What is multithreading and multiprocessing? How to use it in Python?
43. Explain the use of the inspect module in Python. How can it be used to introspect live objects?
44. What are Python’s type hints and how can they be used to improve code readability and maintenance?
45. Create a custom exception in Python?
46. How to handle multiple exceptions in a single try block?
47. What is the finally block used for?
48. What is a shallow copy and deep copy in python?
49. What are Python’s context managers and how to use them to manage resources?
50. What is the difference between == and is?
51. What is the difference between yield, print and return?
52. What is the use of the global keyword?
53. What are Python’s built-in functions map, filter and reduce used for? Provide examples.
54. How to use the zip in Python?
55. Explain the purpose of Python’s collections module and provide examples of its usage.
56. What is the itertools module?
57. How to serialize and deserialize objects in Python? Discuss the pickle module and alternatives like json and yaml.
58. What are Python’s built-in functions for working with files and directories?
59. What are file descriptors and how are they used in Python?
60. How to execute shell commands in Python?
61. Explain the differences between Python’s list comprehension and generator expression.
62. How to implement a singleton pattern in Python? Discuss different approaches.
63. Explain the purpose of Python’s logging module and how to use it for debugging and logging.
64. Explain the concepts of duck typing and EAFP (Easier to Ask for Forgiveness than Permission) in Python.
65. What are abstract base classes (ABCs) in Python and how to use them?
66. How to handle concurrent programming in Python?
67. Explain how Python’s asyncio module enables asynchronous programming and provide examples of its usage.
68. What are coroutines in Python? How do they differ from normal functions and how are they used with async and await?
69. Explain the difference between concurrency and parallelism in Python.
70. What are mixins in Python? How do they differ from normal classes?
71. What are metaclasses and how to use in Python?
72. What is the dataclasses module in Python? How does it help in creating classes? Provide an example.
73. Explain the concept of metaprogramming in Python and provide examples of how it can be used.
74. What are the differences between Python’s datetime and time modules and when to use each?
75. Describe the method resolution order (MRO) in Python. How does Python handle multiple inheritance?
76. Explain how Python’s garbage collection works and what strategies can be used to manage memory effectively.
77. How to use chain and cycle from itertools?
78. Explain the purpose of the functools module in Python. Provide examples of common functions like lru_cache, partial and reduce from this module to enhance code readability and efficiency.
79. How to profile and optimize Python code for performance using tools like cProfile and line_profiler?
80. How to work with raw byte data in Python and what are the advantages of using the struct module?
81. Explain the use of Python’s re module for regular expressions and provide examples of its usage.
82. What are Python closures and how do they work? Provide examples.
83. Explain how Python’s argparse module can be used to parse command-line arguments.
84. What are context managers in Python? How to implement custom context managers using the contextlib module?
85. Explain the concept of memoization. How can it be implemented in Python?
86. Explain the concept of method overloading and method overriding in Python. How are they implemented?
87. Explain the concept of monkey patching in Python. What are its advantages and potential risks?
88. What are some best practices for packaging and distributing Python projects using tools like setuptools and pip?
89. How to use the os module to interact with the filesystem in Python?
90. How to interface with C libraries using ctypes?

-Thank you, happy coding !!