Top 100 Python Interview Questions

1. What is Python and what makes it popular?

2. What are the key features of Python (readability, batteries‑included, etc.)?

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

4. How do you install Python and a code editor / IDE?

5. How do you run a simple Python script?

6. How do you write comments and docstrings?

7. What are the basic data types (int, float, str, bool, None)?

8. How does Python handle variables and dynamic typing?

9. What is the difference between expression and statement?

10. How do you use the interactive Python interpreter (REPL)?

 Data Types, Variables & Operators

11. How do you convert between data types (e.g., `int()`, `str()`, `float()`)?

12. How do you work with numbers (int, float, complex)?

13. What is the difference between `/` and `//`?

14. How do you use comparison operators (`==`, `!=`, `>`, `<`, etc.)?

15. How do you use logical operators (`and`, `or`, `not`)?

16. How do you use membership operators (`in`, `not in`)?

17. How do you use identity operators (`is`, `is not`)?

18. What is type casting and type coercion in Python?

19. How do you check the type of a variable?

20. How do you use f‑strings for formatting?

 Control Flow (If, For, While)

21. How do `if`, `elif`, and `else` work?

22. What is the `if not` idiom?

23. How does indentation define blocks in Python?

24. How do you write a `for` loop over a list, string, or range?

25. How do you use `range()` in loops?

26. How do you iterate over a dictionary (keys, values, items)?

27. How does a `while` loop work?

28. How do you use `break`, `continue`, and `pass`?

29. How do you avoid infinite loops?

30. How do you emulate a “do‑while” style loop?

*📚 Data Structures (Lists, Tuples, Dictionaries, Sets)*

31. What is a `list` and how is it different from an array?

32. How do you add, remove, and update elements in a list?

33. How do you slice a list (`list[start:end:step]`)?

34. How do you use list methods like `append()`, `extend()`, `insert()`, `remove()`, `pop()`?

35. What is tuple immutability and when to use tuples?

36. How do you create and access a dictionary?

37. How do you add, update, delete keys/values in a dict?

38. How do you iterate over a dictionary safely?

39. What is a Python `set` and how is it useful?

40. How do set operations (`union`, `intersection`, `difference`) work?

*📎 Functions, Modules & Scope*

41. How do you define and call a function?

42. What is `return` and how do you return multiple values?

43. How do you use default arguments and keyword arguments?

44. What is `*args` and `**kwargs`?

45. What is function scope and `global` / `nonlocal`?

46. What are lambda functions and when do you use them?

47. How do you document functions with docstrings?

48. How do you import and use modules?

49. How do you create and use packages?

50. How do you handle import errors and circular imports?

*⚡ Exception Handling & Files*

👉 Python basics samajhne ke liye Python Basics Tutorial padhein. 👉 Python examples ke liye Python Examples dekhein. 👉 Python OOP seekhne ke liye Python OOP Guide padhein.

51. What is `try`, `except`, `else`, and `finally`?

52. How do you raise a custom exception?

53. How do you create a custom exception class?

54. How do you handle file‑not‑found errors?

55. How do you read and write to a file using `open()` and context managers?

56. How do you read a file line‑by‑line?

57. How do you work with JSON files (`json.load`, `json.dump`)?

58. How do you handle encoding and decoding (e.g., UTF‑8)?

59. How do you read CSV files with `csv` or `pandas`?

60. How do you manage paths using `os` or `pathlib`?

*OOP 🧱 Object‑Oriented Programming*

61. What is a class and an object?

62. How do you define a class with attributes and methods?

63. What is `__init__` and how does it work?

64. What is `self` and why is it used?

65. How do you define instance vs class vs static methods?

66. What is inheritance and how do you use it?

67. What is method overriding and `super()`?

68. What is polymorphism in Python?

69. What are dunder methods (`__str__`, `__repr__`, `__len__`, etc.)?

70. What is encapsulation and how do you use “private‑like” attributes (`_` / `__`)?

*🧠 Advanced Python Concepts*

71. What is list comprehension and when should you use it?

72. How do set and dict comprehensions work?

73. What are generators and `yield`?

74. How do iterators and `__iter__` / `__next__` work?

75. What are decorators and how do you write a simple one?

76. What is `@staticmethod` / `@classmethod` / `@property`?

77. What is context manager and `with` statement?

78. How do you use `collections` (`Counter`, `defaultdict`, `namedtuple`)?

79. How do you use `itertools` utilities (`chain`, `zip_longest`, `combinations`, etc.)?

80. How do you handle `datetime` and time zones?

*🌐 Web, Data & Libraries (Python‑Ecosystem Style)*

81. How do you install packages with `pip`?

82. How do virtual environments work (`venv`, `conda`)?

83. How do you use `requests` to call an API?

84. How do you parse HTML with `BeautifulSoup` or `lxml`?

85. How do you connect to a database with `sqlite3` or `psycopg2`?

86. How do you use `pandas` for data loading and basic analysis?

87. How do you use `matplotlib` / `seaborn` for simple plots?

88. How do you scrape data with `requests` + `BeautifulSoup` (high‑level)?

89. How do you build a simple web app with `Flask` or `FastAPI` (conceptually)?

90. How do you automate tasks with Python scripts?

*🧠 Scenario‑Based / Behavioral (Python‑focused)*

91. Walk me through a Python project you built from scratch.

92. Tell me about a time you optimized a slow Python script.

93. Tell me about a time you debugged a tricky bug or exception.

94. Tell me about a time you used Python for data cleaning or automation.

95. How do you organize a Python project (folders, `main.py`, `utils/`, `tests/`)?

96. How do you write readable and maintainable Python code?

97. How do you write unit tests for a Python function (high‑level with `unittest` or `pytest`)?

98. How do you handle configuration and secrets (e.g., `.env` / config files)?

99. How do you collaborate on a Python codebase with a team?

100. What are your favorite Python libraries and why?

🚀 Python Interview Questions with Answers   

✴✴ Part 1 ✴✴

🧠 Python Basics & Syntax

1️⃣ What is Python and what makes it popular?

Python is a high-level, interpreted programming language known for its simple and readable syntax.

✅ Why Python is popular:

- Easy to learn and beginner-friendly  

- Huge community support  

- Works for Web Development, AI, Data Science, Automation, Cybersecurity, etc.  

- Large collection of built-in libraries  

- Cross-platform support (Windows, Mac, Linux)  

- Less code compared to many other languages  

📌 Example:  

`print("Hello World")`

2️⃣ What are the key features of Python?

Python has many powerful features:

✅ Key Features:

- *Readable Syntax* → Easy to understand  

- *Interpreted Language* → No compilation needed  

- *Dynamically Typed* → No need to define variable types  

- *Object-Oriented* → Supports OOP concepts  

- *Large Standard Library* → “Batteries Included”  

- *Cross-Platform* → Runs almost everywhere  

- *Open Source* → Free to use  

*📌 Example:*

name = "Viniti"  

age = 25

Python automatically detects data types.

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

*Python 2*  

- Older version  

- `print "Hello"`  

- Less Unicode support  

- Integer division issue  

- No longer maintained  

*Python 3*  

- Latest & recommended  

- `print("Hello")`  

- Better Unicode support  

- Improved division  

- Actively maintained  

*📌 Example:*

# Python 2  

print "Hello"  

# Python 3  

print("Hello")

*✅ Python 3 is preferred for all modern development.*

*4️⃣ How do you install Python and a code editor / IDE?*

*✅ Steps to install Python:*  

1. Visit official Python website

2. Download latest Python version  

3. During installation: Check “Add Python to PATH”  

4. Verify installation: `python --version`  

*✅ Popular IDEs / Editors:*  

- Visual Studio Code

- PyCharm

- Jupyter Notebook

5️⃣ How do you run a simple Python script?

*📌 Create a file:* `hello.py`  

*📌 Write code:*  

`print("Welcome to Python")`  

*📌 Run in terminal:* `python hello.py`  

*✅ Output:*  

`Welcome to Python`

6️⃣ How do you write comments and docstrings?

*✅ Single-line comment*  

`# This is a comment`

*✅ Multi-line comment*

"""  

This is a  

multi-line comment  

"""

*✅ Docstring*  

Used to describe functions/classes.

def add(a, b):  

    """Returns sum of two numbers"""  

    return a + b

7️⃣ What are the basic data types in Python?

*Data Type* → *Example*  

- *int* → `10`  

- *float* → `10.5`  

- *str* → `"Python"`  

- *bool* → `True`  

- *NoneType* → `None`  

*📌 Example:*

x = 10  

y = 3.14  

name = "Python"  

is_active = True  

value = None

*8️⃣ How does Python handle variables and dynamic typing?*

Python uses dynamic typing, meaning you don't need to declare variable types manually.

*📌 Example:*

x = 10  

x = "Hello"

*✅ Same variable can store different data types.*  

Python automatically determines the type during runtime.

9️⃣ What is the difference between expression and statement?

*✅ Expression*  

Produces a value.  

`5 + 3`

*✅ Statement*  

Performs an action.  

`x = 5`

*📌 Example:*  

`x = 10 + 5`  

- `10 + 5` → Expression  

- `x =` → Statement  

*🔟 How do you use the interactive Python interpreter (REPL)?*

*REPL = Read → Evaluate → Print → Loop*

*✅ Open terminal:* `python`  

*✅ Example:*

>>> 5 + 5  

10  

>>> print("Hello")  

Hello

*✅ Useful for:*  

- Quick testing  

- Debugging  

- Learning Python interactively  

Related Articles: Python Hindii Home Python Basics in Hindi More Interview Questions Python Projects

Frequently Asked Questions (FAQ)

1. What are the most common Python interview questions?

Common Python interview questions include Python basics, data types, lists, dictionaries, functions, OOP concepts, exception handling, file handling, and advanced topics like decorators, generators, and list comprehensions.

2. Are these Python interview questions useful for freshers?

Yes, these Python interview questions are perfect for beginners and freshers preparing for software developer, data analyst, and automation-related job interviews.

3. Are advanced Python interview questions included in this guide?

Yes, this guide covers beginner to advanced Python interview questions, including OOP, decorators, generators, modules, and real-world scenario-based questions.

4. How should I prepare for a Python interview?

Practice Python fundamentals, solve coding problems, understand object-oriented programming, work on small projects, and review common interview questions regularly.

5. Is Python enough to get a job as a fresher?

Python is a highly valuable skill, but combining it with problem-solving, SQL, Git, and project experience can improve your chances of getting hired.