Object-Oriented Programming Interview Questions
Classes, objects, inheritance, polymorphism, constructors, and encapsulation in Python.
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Questions (20)
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What is object-oriented programming in Python?
OOP is a programming paradigm based on objects and classes that supports encapsulation, inheritance, polymorphism, and abstraction.
What is a class in Python?
A class is a blueprint for creating objects containing attributes and methods.
What is an object in Python?
An object is an instance of a class that contains data and behavior.
What is encapsulation?
Encapsulation is restricting access to internal data and allowing modification only through methods.
What is inheritance?
Inheritance allows a class to acquire properties and methods of another class.
What is polymorphism?
Polymorphism allows methods to have different behaviors based on the object.
What is abstraction?
Abstraction hides implementation details and shows only essential features.
What are types of inheritance in Python?
Single, multiple, multilevel, hierarchical, and hybrid inheritance.
What is method overriding?
Method overriding occurs when a child class provides a specific implementation of a parent method.
What is method overloading in Python?
Python does not support traditional method overloading but can simulate it using default arguments.
What is self in Python?
self refers to the current instance of a class.
What is constructor in Python?
Constructor is __init__ method used to initialize objects.
What is super() function?
super() is used to call parent class methods.
What is multiple inheritance?
Multiple inheritance allows a class to inherit from more than one parent class.
How do you stay updated on Object-Oriented Programming changes in Python?
Follow release notes, RFCs or PEPs, official blogs, and reputable courses. Experiment in side projects when new Object-Oriented Programming-related features ship so you can speak confidently about migration paths.
Which Python built-ins or stdlib modules matter most for Object-Oriented Programming?
Name concrete modules (collections, itertools, pathlib, typing) and how they support Object-Oriented Programming. Prefer stdlib before third-party when it is enough.
How do mutable default arguments or late binding bite you with Object-Oriented Programming?
Explain the classic default-list bug and closures in loops. Show a safe pattern when Object-Oriented Programming uses defaults or lambdas.
What testing tools would you use for Object-Oriented Programming logic?
pytest with fixtures, parametrize, and coverage. Mock I/O at boundaries so Object-Oriented Programming unit tests stay deterministic.
How does typing improve Object-Oriented Programming maintainability?
Annotate public APIs, use mypy/pyright in CI, and prefer Protocols for duck typing. Catch Object-Oriented Programming contract breaks before runtime.
When would you choose a generator or comprehension for Object-Oriented Programming?
Generators save memory for large streams; comprehensions are clear for small transforms. Justify the choice for Object-Oriented Programming data sizes.
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