Top 30 Most Asked Python Interview Questions and Answers (2025 & 2026)

Python continues to dominate the world of programming in 2025 & 2026, powering AI, Data Science, Automation, Backend Development, DevOps, Cybersecurity, and more. Due to its simplicity and massive ecosystem, Python-related interviews are becoming more competitive.

To help you prepare effectively, here are the Top 30 Most Asked Python Interview Questions and Answers (2025 & 2026 Edition)—explained in an easy, practical, and interview-focused way.


1. What is Python? Why is it so popular?

Answer: Python is a high-level, interpreted, object-oriented programming language known for its readability, flexibility, and extensive library support.

Why Python is popular in 2025–2026

  • Easy to learn
  • Strong community
  • Dominates AI/ML, Automation, APIs
  • Huge frameworks like Django, Flask, FastAPI
  • Cross-platform
  • Rich ecosystem (NumPy, Pandas, TensorFlow)

2. What are Python’s key features?

Important Features

  • Interpreted language
  • Dynamically typed
  • Object-oriented
  • Portable
  • Extensive libraries
  • Supports functional + OOP
  • Huge ML/AI support

3. What is PEP 8?

PEP 8 is the official style guideline for writing Python code.
It covers naming conventions, spacing, imports, line length, etc.

Example:

def calculate_sum(a, b):
    return a + b

4. What are Python namespaces?

A namespace is a system that assigns unique names to objects.

Types:

  • Local
  • Global
  • Enclosing
  • Built-in

5. What is the difference between list and tuple?

ListTuple
MutableImmutable
SlowerFaster
Uses []Uses ()

Example:

my_list = [1, 2, 3]
my_tuple = (1, 2, 3)

6. Explain Python’s memory management.

Python uses:

  • Private heap memory
  • Automatic memory management
  • Garbage collection
  • Reference counting
  • Generational GC mechanism

7. What is a Python decorator?

A decorator adds functionality without modifying the original function.

Example:

def my_decorator(func):
    def wrapper():
        print("Before function")
        func()
        print("After function")
    return wrapper

@my_decorator
def greet():
    print("Hello World")

greet()

**8. What are *args and kwargs?

Used for variable-length arguments.

def func(*args, **kwargs):
    print(args)
    print(kwargs)

9. What are lambda functions?

Anonymous, one-line functions.

square = lambda x: x * x

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

Shallow Copy

Copies reference

import copy
shallow = copy.copy(obj)

Deep Copy

Copies entire object recursively

deep = copy.deepcopy(obj)

11. What are Python generators?

Generators return values one at a time using yield.

Example:

def counter():
    for i in range(5):
        yield i

Generators are memory-efficient.


12. What is the GIL (Global Interpreter Lock)?

GIL allows only one thread to execute Python bytecode at a time.

  • Affects multi-threading
  • Does not affect multiprocessing
  • Python 3.13+ aims to reduce GIL impact

13. What is list comprehension?

A concise syntax to create lists.

squares = [x*x for x in range(10)]

14. Explain Python modules and packages.

  • Module → A single Python file
  • Package → A collection of modules

Package example structure:

mypackage/
    __init__.py
    module1.py
    module2.py

15. What are Python data types?

Common types:

  • int
  • float
  • complex
  • str
  • list
  • tuple
  • set
  • dict
  • bool
  • bytes

16. Explain OOP concepts in Python.

  • Class
  • Object
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction

Example:

class Car:
    def __init__(self, brand):
        self.brand = brand

17. What is inheritance in Python?

One class can derive properties from another.

Example:

class A:
    pass

class B(A):
    pass

18. What is method overloading and overriding?

Overloading

Python does not support traditional overloading. Achieved using default arguments.

Overriding

Child class redefines parent method.


19. What is the difference between ‘is’ and ‘==’?

is==
Compares memory locationCompares values

20. What are iterators in Python?

An iterator is an object with:

  • __iter__()
  • __next__()

Example:

my_list = [1,2,3]
iterator = iter(my_list)

21. What is the difference between range, xrange (Python 2), and list?

Python 3 only supports range.

range() is a generator-like sequence.
It doesn’t store all values in memory.


22. What is a Python dictionary?

A collection of key-value pairs.

Example:

data = {"name": "John", "age": 25}

23. What are sets and their operations?

A set is a unique unordered collection.

s1 = {1,2,3}
s2 = {3,4,5}
print(s1.union(s2))

24. What is exception handling in Python?

try:
    x = 10/0
except ZeroDivisionError:
    print("Error!")
finally:
    print("Done")

25. What is multithreading in Python?

Runs multiple threads concurrently.
But GIL limits true parallelism.

Use:

import threading

26. What is multiprocessing in Python?

Runs multiple processes in parallel, bypassing GIL.

from multiprocessing import Process

27. What is an API in Python?

APIs can be built using:

  • Flask
  • Django
  • FastAPI (fastest)

Example (FastAPI):

from fastapi import FastAPI
app = FastAPI()

@app.get("/")
def home():
    return {"msg": "Hello World"}

28. What are dataclasses (Python 3.10+)?

Used to create classes with minimal code.

from dataclasses import dataclass

@dataclass
class Person:
    name: str
    age: int

29. What is type hinting?

Introduced from Python 3.5+.

def add(a: int, b: int) -> int:
    return a + b

Used heavily in 2025–2026 codebases.


30. What is asyncio? Explain asynchronous programming.

asyncio allows concurrent, non-blocking I/O.

Example:

import asyncio

async def task():
    print("Running task")
    await asyncio.sleep(1)

asyncio.run(task())

Used for:

  • Real-time apps
  • API servers
  • Socket programming
  • High-performance I/O

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