Python interviews can feel intimidating, especially for beginners. Many students struggle not because they don’t know Python, but because they aren’t sure which questions are actually asked in interviews, how to answer them clearly, and how to explain concepts in a simple way.
This guide is designed to bridge that gap—helping students, freshers, and anyone preparing for Python, Data Science, AI, ML, or Backend Developer roles to confidently face interviews.
These 25 core Python questions are commonly asked by product companies, MNCs, startups, and tech-driven enterprises in coding rounds, technical interviews, and telephonic screenings. By mastering these questions, you’ll gain the confidence to explain fundamentals, OOP concepts, loops, data structures, and exception handling—all in a way that impresses interviewers.
From variables to loops, OOP, and real-life Python use cases, each answer is explained with simple similes and examples, so even beginners can understand and recall them easily during interviews.
1️⃣ What is Python?
Python is a high-level, interpreted, general-purpose programming language used to build applications quickly.
Simile: Python is like English language—easy to read, easy to write, and widely understood.
2️⃣ Why is Python so popular?
Python is popular because it’s simple, versatile, and supported by libraries for web development, AI, ML, and automation.
Simile: Python is like a Swiss Army knife—one tool, many uses.
3️⃣ Key features of Python
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Interpreted
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Dynamically typed
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Object-oriented
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Platform independent
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Large standard library
Simile: Python is like a smart assistant—it helps you handle many tasks effortlessly.
4️⃣ What is an interpreted language?
Python executes code line by line instead of compiling the whole program.
Simile: Like reading instructions step-by-step instead of memorizing the entire manual.
5️⃣ What is dynamic typing in Python?
You don’t need to declare variable types.
Simile: A bucket that can hold water today and sand tomorrow.
6️⃣ What are variables?
Variables store data values.
Simile: Variables are like labeled boxes where you store things.
7️⃣ What are data types?
Common types: int, float, string, list, tuple, set, dictionary.
Simile: Different containers for different types of items.
8️⃣ What is a list?
A list is an ordered, mutable collection.
Simile: A shopping list—you can add or remove items anytime.
9️⃣ What is a tuple?
A tuple is ordered but immutable.
Simile: A printed receipt—you can read it but can’t change it.
🔟 Difference between list and tuple
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List → mutable
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Tuple → immutable
Simile: List = whiteboard; Tuple = printed poster
1️⃣1️⃣ What is a dictionary?
Stores data in key-value pairs.
Simile: Like a real dictionary—search a key to get its value.
1️⃣2️⃣ What is a set?
A set is an unordered collection of unique elements.
Simile: A guest list—no duplicate names allowed.
1️⃣3️⃣ What are functions in Python?
Functions are reusable blocks of code.
Simile: A machine button—press it anytime to perform a task.
1️⃣4️⃣ What is a return statement?
return sends a value back from a function.
Simile: Ordering food and getting your dish back.
1️⃣5️⃣ What are arguments and parameters?
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Parameters → placeholders
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Arguments → actual values
Simile: Parameter = empty plate; Argument = food served on it
1️⃣6️⃣ What is indentation?
Indentation defines code blocks in Python.
Simile: Like paragraph spacing in writing—shows structure.
1️⃣7️⃣ What are loops?
Loops repeat code: for loop, while loop.
Simile: Like a washing machine cycle—repeats until finished.
1️⃣8️⃣ For loop
Iterates over a sequence.
Simile: Calling roll numbers one by one in class.
1️⃣9️⃣ While loop
Runs while a condition is true.
Simile: Keep studying until the exam ends.
2️⃣0️⃣ What is exception handling?
Handles runtime errors using try, except.
Simile: A safety net when you fall.
2️⃣1️⃣ What is OOP?
Object-Oriented Programming organizes code using classes and objects.
Simile: Blueprint (class) → Houses (objects).
2️⃣2️⃣ Class
A class is a blueprint for objects.
Simile: A cookie cutter
2️⃣3️⃣ Object
An object is an instance of a class.
Simile: A cookie made from the cutter
2️⃣4️⃣ Inheritance
A child class inherits properties from a parent class.
Simile: Children inheriting family traits
2️⃣5️⃣ Real-life uses of Python
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Web development
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Data Science & AI/ML
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Automation & Scripting
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DevOps & Cloud tools
Simile: Python is the engine powering modern technology
🎯 Final Tip for Students
Python interviews don’t reward memorization, they reward clarity, understanding, and problem-solving.
At Eduarn.com, we offer free online Python courses, guided internships, and structured learning paths to help students learn, practice, and crack real-world interviews.
📌 Check the comments for free course details, roadmap, and internship opportunities
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