Python interview questions for freshers
Entry-level Python interviews check that you understand the basics properly, that you can write small programs and explain them, and that the projects on your resume are really yours.
Below are questions commonly asked of freshers, grouped by type, with what a good answer includes.
What interviewers assess
- Core Python: data types, lists, dicts, functions and exceptions
- Writing short programs and explaining your logic
- Your academic or personal projects, and your own part in them
- Communication and willingness to learn
Core concepts questions
What are Python's built-in data types?
What a good answer covers: Numbers (int, float), str, bool, list, tuple, dict, set and None, with which are mutable. A short example for each beats a long list.
What is the difference between a list and a tuple?
What a good answer covers: Mutable versus immutable; tuples can be dictionary keys and are slightly faster. Say when you would use each.
What is the difference between is and ==?
What a good answer covers: is checks whether two names point to the same object; == checks whether the values are equal. Use is for None.
How does exception handling work in Python?
What a good answer covers: try, except, else and finally; catch specific exceptions rather than a bare except; raise your own with a clear message.
What are lambda functions and where would you use one?
What a good answer covers: Small anonymous functions, often as a key for sorted() or in map/filter. Mention that a named function is clearer for anything longer.
Coding and problem solving questions
Write a program to count how often each word appears in a sentence.
What a good answer covers: Split the text, then count with a dict or collections.Counter. Mention lower-casing and stripping punctuation.
Check whether a string is a palindrome.
What a good answer covers: Compare the string with its reverse (s[::-1]) after normalising case and removing spaces. Then explain a two-pointer version.
Find the second largest number in a list.
What a good answer covers: Handle duplicates and short lists; a single pass tracking the largest and second largest is O(n). Sorting works but is O(n log n); say so.
Remove duplicates from a list while keeping the original order.
What a good answer covers: Loop with a seen set, or dict.fromkeys(items). Explain why set(items) alone loses the order.
About your projects questions
Explain the Python project on your resume. What part did you build?
What a good answer covers: Problem, users, libraries used, your own contribution, one difficult part and what you learned. Be ready for follow-up questions on every library you name.
You've listed pandas / Flask / Django. What did you use it for?
What a good answer covers: A concrete task: cleaning a dataset, building an API endpoint, rendering a page. Interviewers check that a skill on the resume comes from real use.
How did you test that your program worked?
What a good answer covers: Manual checks are fine to mention, but showing that you know about unit tests (unittest or pytest) and edge cases stands out.
HR and motivation questions
Tell me about yourself.
What a good answer covers: Degree, most relevant project or internship, why you enjoy Python, and why this role. Keep it under two minutes.
Why Python and not another language?
What a good answer covers: A genuine reason: readability, the libraries, the kind of work you want (web, data, automation). Back it with something you built.
Where do you see yourself in a few years?
What a good answer covers: Growing deeper in an area relevant to the role. Show ambition without suggesting you'll leave soon.
Common mistakes
- Learning syntax but not being able to explain what your own project's code does.
- Freezing on a coding problem instead of talking through a simple first approach.
- Claiming machine learning experience from a single tutorial.
- Memorising answers word for word so they sound rehearsed.
How to prepare
- Revise the built-in data types and practise using dict, set and list comprehensions.
- Solve simple string and list problems aloud, explaining your approach first.
- Prepare a clear story for each project, including what you'd improve now.
- Do at least one mock interview so the real one isn't your first time answering aloud.
Reading questions only goes so far: the real test is answering them aloud, under follow-up questions. Career Scan builds a mock interview from your own resume and the job, then shows exactly which answers need work.
Frequently asked questions
Is Python a good first language for getting a developer job?
Yes. It is widely used in web development, data, automation and AI. Pair it with SQL and Git and at least one project you can explain in depth.
Will freshers be asked about advanced topics like the GIL or decorators?
Sometimes as a stretch question. Know what they are in one or two sentences; the depth is expected only for experienced roles.
Can I write code in Python in a general coding round?
Usually, yes. Most companies let you choose your language for problem-solving rounds. Check the instructions they send you.