Python Question Bank 2026: Practice Questions for Beginners and Intermediate Learners
By Mohit Agarwal, Paath.online5 min read
This Python question bank is designed for students preparing for interviews, internships, or exams in 2026. Questions are grouped by topic so you can revise step‑by‑step and track your progress.
Use these questions as written practice: first try on your own, then discuss with a tutor or check against Python docs or trusted guides.
A. Python Basics & Data Types
- What are the main built‑in data types in Python? Give one example of each.
- Explain the difference between
listandtuplewith an example. When would you prefer a tuple? - What is the output of
3 / 2and3 // 2in Python? Why? - What is slicing? Write Python code to reverse a list using slicing.
- What is PEP 8 and why is it important for Python developers?
B. Collections & Control Flow
- How do you iterate over a dictionary's keys and values in Python? Write a short example.
- What is a list comprehension? Rewrite a simple
for‑loop that builds a list using list comprehension. - Explain the difference between
breakandcontinuewith a short code example. - How do you handle exceptions in Python? Write a small example using
try,except, andfinally.
C. Functions & OOP
- Explain the difference between positional arguments, keyword arguments,
*args, and**kwargs. - What is a lambda function? When would you use one?
- Describe the concept of mutable vs immutable objects with respect to function arguments.
- Write a simple Python class with an
__init__method and one instance method. How do you create an object from this class? - What are decorators in Python? Give an example use‑case (you do not have to write full code).
D. NumPy & Pandas (Data Science Essentials)
- What is the difference between a NumPy array and a Python list? Why are NumPy arrays faster for numerical operations?
- How do you create a
3x3NumPy array filled with zeros? Write the code. - In Pandas, what is the difference between a
Seriesand aDataFrame? - Write code to load a CSV file into a DataFrame and display the first 5 rows.
- How do you handle missing values (
NaN) in a Pandas DataFrame?
How to Use This Question Bank
Pick one section per day, write answers in a notebook or editor, and then compare your solutions with friends, tutors, or trusted Python references. Combine this with small coding exercises and projects to build confidence.