Python continues to be one of the most in-demand programming languages across software development, data science, artificial intelligence, automation, machine learning, and backend development. As organisations increasingly adopt Python for building scalable applications and data-driven solutions, the demand for skilled Python developers is growing rapidly.

Python interview questions usually test a candidate’s knowledge of Python fundamentals, data structures, object-orientated programming, libraries, and real-world coding skills. Preparing the top Python interview questions helps candidates strengthen their programming knowledge and perform confidently in technical interviews.

Key Highlights

• Covers Python basics, data structures, and OOP concepts
• Includes advanced Python topics like decorators, generators, and threading
• Helpful for freshers and experienced developers
• Commonly asked in software development and data science interviews

Python Basics Interview Questions

1. What is the Python programming language?

Python is a high-level, interpreted programming language used for web development, data science, automation, and AI.

2. What are the main features of Python?

Simple syntax, interpreted execution, dynamic typing, extensive libraries, and cross-platform compatibility.

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

Python 3 provides improved Unicode support, cleaner syntax, and updated libraries, while Python 2 is deprecated.

4. What are Python variables?

Variables are containers that store data values.

5. What are Python data types?

Common data types include int, float, string, list, tuple, dictionary, and set.

6. What is dynamic typing in Python?

Variable types are determined automatically during runtime.

7. What are Python keywords?

Reserved words such as if, else, while, for, and class.

8. What is PEP 8?

The official Python style guide for writing readable code.

9. What is indentation in Python?

Indentation defines code blocks instead of braces.

10. What are comments in Python?

Notes ignored by the interpreter, written using #.

Python Data Structures Interview Questions

11. What is a list in Python?

An ordered and mutable collection.

12. What is a tuple?

An ordered but immutable collection.

13. Difference between list and tuple?

Lists are mutable; tuples are immutable.

14. What is a dictionary in Python?

A collection of key-value pairs.

15. What is a set in Python?

An unordered collection of unique elements.

16. What is list comprehension?

A concise way to create lists in a single line.

17. What are mutable and immutable objects?

Mutable objects can change after creation; immutable objects cannot.

18. What is dictionary comprehension?

A concise method to create dictionaries.

19. Difference between append() and extend()?

append() adds a single item, while extend() adds multiple items.

20. What are nested data structures?

Structures containing other lists, dictionaries, or sets.

Python Functions Interview Questions

21. What is a function in Python?

A reusable block of code that performs a specific task.

22. What are lambda functions?

Anonymous one-line functions.

23. What is recursion?

A function calling itself repeatedly.

24. What are default arguments?

Parameters assigned predefined values.

25. What are keyword arguments?

Arguments passed using parameter names.

26. What is *args?

Allows multiple positional arguments.

27. What is **kwargs?

Allows multiple keyword arguments.

28. What are higher-order functions?

Functions that accept or return functions.

29. What is map()?

Applies a function to every item in an iterable.

30. What is filter()?

Returns elements matching a condition.

Python OOP Interview Questions

31. What is Object-Orientated Programming in Python?

A programming paradigm based on objects and classes.

32. What are classes and objects?

A class is a blueprint; an object is its instance.

33. What is inheritance?

A mechanism to acquire properties from another class.

34. What is polymorphism?

Different objects responding differently to the same method.

35. What is encapsulation?

Restricting direct access to internal data.

36. What is abstraction?

Hiding implementation details from users.

37. What is method overriding?

Providing a new implementation in a subclass.

38. What is method overloading?

Multiple methods with the same name but different parameters.

39. What is super()?

Used to call parent class methods.

40. What is multiple inheritance?

A class inheriting from multiple parent classes.

Advanced Python Interview Questions

41. What are decorators?

Functions that modify other functions’ behaviour.

42. What are generators?

Functions that yield values one at a time.

43. What is the yield keyword?

Temporarily pauses function execution and returns a value.

44. What are iterators?

Objects used to traverse collections.

45. What is memory management in Python?

Managed using reference counting and garbage collection.

46. What is garbage collection?

Automatic removal of unused objects.

47. What is the Python GIL?

The Global Interpreter Lock allows one thread to execute Python bytecode at a time.

48. What is monkey patching?

Modifying code behaviour during runtime.

49. What are metaclasses?

Classes that define class behaviour.

50. What are context managers?

Objects that manage resources using the with statement.

Python Libraries Interview Questions

51. What is NumPy?

A library for numerical computing and array operations.

52. What is Pandas?

A data analysis and manipulation library.

53. What is Matplotlib?

A visualisation library for charts and graphs.

54. What is Seaborn?

A statistical data visualisation library built on Matplotlib.

55. What is Scikit-learn?

A machine learning library for predictive modelling.

56. What is TensorFlow?

An open-source machine learning framework.

57. What is Flask?

A lightweight Python web framework.

58. What is Django?

A high-level framework for building web applications.

59. What is SQLAlchemy?

An ORM library for database interactions.

60. What is the Requests library?

A library used to send HTTP requests.

61. What is BeautifulSoup?

Used for web scraping and HTML parsing.

62. What is PyTorch?

A deep learning framework.

63. What is OpenCV?

A computer vision library.

64. What is FastAPI?

A modern API development framework.

65. What is Plotly?

An interactive data visualisation library.

66. What is Dask?

A parallel computing library.

67. What is PySpark?

A Python API for Apache Spark.

68. What is Selenium?

A browser automation library.

69. What is Boto3?

AWS SDK for Python.

70. What is Streamlit?

A framework for building data applications.

71. What is Keras?

A deep learning API.

72. What is NLTK?

A natural language processing library.

73. What is SpaCy?

An advanced NLP library.

74. What is Pillow?

A Python imaging library.

75. What is Statsmodels?

A library for statistical analysis.

Python Coding Questions

76. Reverse a string in Python

s = "python"
print(s[::-1])

77. Find factorial

import math
print(math.factorial(5))

78. Check palindrome

s = "madam"
print(s == s[::-1])

79. Find largest element

numbers = [10,20,5]
print(max(numbers))

80. Count vowels

s="python"
count=sum(1 for c in s if c in "aeiou")
print(count)

Python Scenario-Based Questions

81. How to handle large datasets in Python?

Use Pandas, Dask, and PySpark for efficient processing.

82. How to optimise Python performance?

Use efficient algorithms, built-in functions, multiprocessing, and NumPy.

83. Difference between deep copy and shallow copy?

A deep copy creates independent copies; a shallow copy copies references.

84. How does multithreading work in Python?

Threads run concurrently, but GIL limits true parallelism.

85. Difference between process and thread?

Processes have separate memory; threads share memory.

Python Real-World Questions

86. How does Python handle memory management?

Using reference counting and garbage collection.

87. How to secure Python applications?

Input validation, authentication, encryption, and dependency scanning.

88. What is REST API development in Python?

Building APIs using Flask, FastAPI, or Django REST Framework.

89. How does Python integrate with databases?

Using SQLite, MySQL Connector, PostgreSQL adapters, and SQLAlchemy.

90. What are microservices in Python?

Small independent services communicating through APIs.

Expert-Level Python Questions

91. What is async programming in Python?

Non-blocking programming using async and await.

92. What is the asyncio library?

A framework for asynchronous programming.

93. Difference between threading and multiprocessing?

Threading shares memory; multiprocessing uses separate processes.

94. What are Python design patterns?

Reusable solutions such as Singleton, Factory, and Observer patterns.

95. What is dependency injection?

Passing dependencies externally instead of creating them internally.

Bonus Python Questions

96. What is duck typing in Python?

Object suitability is determined by behaviour rather than type.

97. What is Python bytecode?

Intermediate code executed by the Python virtual machine.

98. What is a Python interpreter?

Software that executes Python code.

99. What is JIT compilation?

Compiling code during runtime for improved performance.

100. What is the Python packaging system?

A system for distributing libraries using pip and setuptools.

Preparing these Top 100 Python Interview Questions and Answers helps candidates strengthen their understanding of Python programming fundamentals, data structures, object-orientated programming concepts, Python libraries, and advanced programming techniques.

Whether you are a fresher preparing for your first software development interview or an experienced professional aiming for senior Python developer roles, practising these commonly asked Python interview questions can significantly improve your confidence and technical performance.

Consistent practice, hands-on coding, and understanding real-world Python applications will help you succeed in software development, data science, machine learning, automation, and backend engineering interviews.

FAQs

What are Python interview questions?

Python interview questions assess programming knowledge, coding skills, and problem-solving abilities.

Why should I prepare Python interview questions?

Preparation improves technical expertise and interview confidence.

What topics are commonly asked in Python interviews?

Python basics, OOP, data structures, libraries, algorithms, and coding challenges.

Are Python coding questions important?

Yes. They evaluate programming logic and problem-solving capabilities.

Is Python good for technical interviews?

Yes. It is widely used across software development, AI, data science, and automation.

How can beginners prepare for Python interviews?

Practice Python fundamentals, coding exercises, projects, and mock interviews.

How many Python interview questions should I practise?

Practising at least 100 frequently asked questions is recommended.

Do companies ask advanced Python questions?

Yes. Experienced roles often include decorators, generators, threading, asyncio, and system design concepts.

Want to crack your Python interview with confidence? Practise these top 100 Python interview questions, build real-world projects, and strengthen your coding skills. Join our Python training course to get hands-on learning, interview preparation, and career support. Enroll today and accelerate your Python career! 🚀