Python developer interview questions for freshers (India)

Technical and role questions

1. 1. What are Python’s key features that make it popular for development?

   Python is popular due to its simple syntax, readability, dynamic typing, extensive standard libraries, and support for multiple programming paradigms like procedural, object-oriented, and functional programming.

2. 2. How do you declare and use a list in Python? Give a simple example.

   A list is declared using square brackets, e.g., my_list = [1, 2, 3]. You can access elements by index like my_list[0], which gives 1.

3. 3. Explain the difference between a list and a tuple in Python.

   Lists are mutable, meaning you can change elements after creation. Tuples are immutable, so once created, their elements cannot be modified.

4. 4. What is a Python dictionary and how is it used?

   A dictionary stores key-value pairs, like a map. Example: my_dict = {'name': 'John', 'age': 25}. Access values by keys: my_dict['name'] returns 'John'.

5. 5. What are Python’s data types? Name at least five.

   Common data types include int (integers), float (decimal numbers), str (strings), bool (True/False), list, tuple, set, and dict (dictionary).

6. 6. How does Python handle memory management?

   Python uses automatic memory management with reference counting and a garbage collector to free unused memory, so developers don’t manually manage memory.

7. 7. What is the difference between ‘is’ and ‘==’ in Python?

   ‘==’ checks if values are equal, while ‘is’ checks if two variables point to the same object in memory.

8. 8. How do you handle exceptions in Python? Give a simple example.

   Use try-except blocks. For example: try: x = 1/0 except ZeroDivisionError: print('Cannot divide by zero'). This catches and handles the error gracefully.

9. 9. What are Python decorators and why are they used?

   Decorators are functions that modify other functions to add functionality without changing their code. They help with logging, access control, and more.

10. 10. Explain list comprehension with an example.

    List comprehension creates lists concisely. Example: squares = [x*x for x in range(5)] creates [0,1,4,9,16].

11. 11. What is a lambda function in Python?

    A lambda function is a small, anonymous function defined using the `lambda` keyword. It can take any number of arguments but can only have one expression. Lambdas are typically used for short, throwaway functions where a full `def` statement is overkill, often within higher-order functions like `map()` or `filter()`.

12. 12. How do you read and write files in Python?

    Use open() with modes like 'r' for read, 'w' for write. Example: with open('file.txt', 'r') as f: data = f.read().

13. 13. What are Python’s built-in data structures and when to use each?

    Python's built-in data structures include lists for ordered, mutable collections; tuples for ordered, immutable collections; sets for unordered collections of unique items; and dictionaries for unordered key-value pairs. Each is chosen based on requirements for order, mutability, uniqueness, and data access patterns.

14. 14. Explain the concept of Python generators.

    Generators yield items one at a time using yield keyword, saving memory when working with large data instead of returning full lists.

15. 15. What is the Global Interpreter Lock (GIL) in Python?

    GIL is a mutex that allows only one thread to execute Python bytecode at a time, limiting true parallelism in multi-threaded CPU-bound programs.

16. 16. How can you manage packages in Python projects?

    Use pip to install packages and virtual environments (venv) to isolate dependencies per project.

17. 17. What is the difference between shallow copy and deep copy?

    Shallow copy copies object references; changes in nested objects affect both. Deep copy duplicates nested objects, so changes don’t affect the original.

18. 18. How do you debug Python code?

    Use print statements, Python’s pdb debugger, or IDE debugging tools to step through code and inspect variables.

19. 19. Explain how to use Python’s map() and filter() functions.

    map() applies a function to all items in an iterable. filter() selects items based on a function returning True.

20. 20. What are Python’s common built-in modules you have used?

    Common built-in modules include `os` for interacting with the operating system, `sys` for system-specific parameters and functions, `math` for mathematical operations, `datetime` for date and time manipulation, and `json` for working with JSON data. These modules provide essential functionalities for various programming tasks.

Project and internship questions

1. 21. Describe your final-year project and your role in it.

   Briefly explain [your project]’s purpose, your specific tasks, technologies used, and what you contributed to achieve the results.

2. 22. What challenges did you face in your project and how did you overcome them?

   Describe a problem in [your project], the steps you took to solve it, and the positive outcome or learning from it.

3. 23. Which Python libraries or tools did you use in your project and why?

   Mention libraries like pandas, Flask, or requests used in [your project], explaining how they helped solve specific problems.

4. 24. How did you test and debug your project?

   Explain your approach to testing, such as writing test cases or using debugging tools, and how you fixed issues in [your project].

5. 25. What would you improve if you had more time on your project?

   Mention features or optimizations you planned but couldn’t implement in [your project] and how they would enhance it.

6. 26. How did your project demonstrate your Python skills?

   Describe how [your project] required Python knowledge like data handling, automation, or web development, showcasing your practical skills.

HR and behavioural questions

1. 27. Tell me about yourself.

   Start with your education, mention relevant skills, briefly describe your projects or internships, and end with your interest in Python development.

2. 28. Why do you want to work with Python?

   Mention Python’s simplicity, versatility, and your interest in solving problems with it. Also, highlight any projects or courses that motivated you.

3. 29. How do you handle failure or setbacks?

   Explain a situation where you faced failure, what you learned, and how you improved or adapted to avoid it in future.

4. 30. What are your strengths and weaknesses?

   State strengths relevant to the role, like problem-solving or quick learning. For weaknesses, mention something you’re improving, showing self-awareness.

5. 31. Are you willing to relocate if required?

   Express openness to relocation, emphasizing your flexibility and eagerness to grow professionally.

6. 32. Where do you see yourself in five years?

   Describe your goal to grow as a Python developer, learn new technologies, and contribute to impactful projects.

Find python developer openings

Practise these, then apply where hiring is live: Python developer jobs in India, fresher python developer jobs and remote roles open to India. Before you apply, check your resume with the free ATS resume checker and draft a letter with the free cover letter generator.