Python Interview Questions India 2026: Top 40

Aap Python seekh rahe ho, projects bhi bana liye, lekin interview ke time HR ya tech panel kuch aisa pooch leta hai ki dimaag blank ho jaata hai. Especially India mein 2026 hiring thodi alag hai: TCS, Infosys, Wipro jaise service companies basics deeply poochti hain, aur Razorpay, PhonePe, Swiggy, Zomato, Paytm jaise product startups problem solving plus real-world coding dekhti hain.

Agar tum fresher ho, ₹3.5 LPA se ₹8 LPA roles target kar rahe ho, ya 2-4 years experience ke saath ₹10 LPA se ₹25 LPA Python backend, data, automation roles dekh rahe ho, ye guide kaafi kaam aayegi. Isme top 40 Python interview questions hain, India 2026 ke hisaab se, simple Hinglish explanations ke saath.

Python Interview Questions India 2026: Top 40#

Python India mein ab sirf “easy language” nahi raha. Companies isko backend development, data engineering, automation, AI tools, DevOps scripts, testing, fintech systems, recommendation engines, sab jagah use kar rahi hain.

Agar resume mein Python likha hai, interviewer assume karega ki tum basics, OOP, data structures, exception handling, APIs, database, aur thoda performance samajhte ho.

Chalo seedha questions pe aate hain.

Section 1: Python Basics, Jo Har Interview Mein Aate Hain#

1. Python kya hai aur interpreted language ka matlab kya hota hai?

Python ek high-level, interpreted, dynamically typed programming language hai. Iska syntax simple hai, isliye beginners ke liye friendly hai, lekin real companies mein bhi heavy use hota hai.

Interpreted ka matlab: code directly line by line execute hota hai, pehle C/C++ jaise compile nahi karna padta. Actually Python internally bytecode banata hai, phir Python Virtual Machine execute karta hai.

Interview answer simple rakho:

“Python interpreted language hai kyunki code runtime pe execute hota hai. Development fast hota hai, debugging easy hoti hai.”

2. Python dynamically typed language kyun hai?

Python mein variable declare karte time type mention nahi karna padta.

Example:

x = 10
x = "hello"

Same variable pehle integer tha, phir string ban gaya. Type runtime pe decide hota hai.

Good interview line:

“Python dynamically typed hai kyunki variable ka type runtime pe assign hota hai, compile time pe nahi.”

3. Python mein list aur tuple mein difference kya hai?

Ye fresher interviews mein pakka aata hai, TCS Ninja, Infosys Specialist Programmer, Wipro Elite, sab jagah.

List mutable hoti hai, tuple immutable hota hai.

my_list = [1, 2, 3]
my_list[0] = 10

my_tuple = (1, 2, 3)
# my_tuple[0] = 10  error

Main differences:

1. List change ho sakti hai.
2. Tuple change nahi hota.
3. Tuple generally faster hota hai.
4. Tuple dictionary key ban sakta hai agar uske elements immutable hain.

4. Mutable aur immutable objects kya hote hain?

Mutable objects change ho sakte hain after creation. Immutable objects change nahi hote.

Mutable examples:

• list
• dict
• set

Immutable examples:

• int
• float
• string
• tuple

Example:

s = "jobrise"
s[0] = "J"  # error

String immutable hai, isliye direct change nahi kar sakte.

5. Python mein is aur == mein difference?

== values compare karta hai.
is memory reference compare karta hai.

a = [1, 2]
b = [1, 2]

print(a == b)  # True
print(a is b)  # False

Best answer:

“== content compare karta hai, is object identity compare karta hai.”

6. Python mein indentation important kyun hai?

Python braces {} use nahi karta blocks ke liye. Indentation se block define hota hai.

if True:
    print("Hello")

Agar indentation galat, code error dega.

Indian interviews mein ye basic lagta hai, par fresher ke confidence test ke liye poochte hain.

7. Python mein None kya hota hai?

None ek special object hai jo absence of value represent karta hai.

Example:

def test():
    pass

print(test())  # None

Agar function return statement nahi deta, Python automatically None return karta hai.

8. Python mein input kaise lete hain?

name = input("Enter name: ")

input() hamesha string return karta hai. Agar number chahiye:

age = int(input("Enter age: "))

Agar coding round mein user input parse karna hai, ye basic clear hona chahiye.

Section 2: Data Structures Questions#

9. Dictionary kya hoti hai Python mein?

Dictionary key-value pairs store karti hai.

student = {
    "name": "Aman",
    "marks": 85
}

Keys unique hoti hain. Python 3.7 ke baad dictionary insertion order maintain karti hai.

Use cases:

• JSON data handle karna
• API responses
• Frequency count
• Config values

10. Set kya hota hai aur kab use karte hain?

Set unordered collection hota hai unique elements ka.

nums = {1, 2, 2, 3}
print(nums)  # {1, 2, 3}

Set use karo jab duplicates remove karne ho ya membership check fast chahiye.

Example:

visited = set()

Graph, BFS, DFS questions mein kaam aata hai.

11. List comprehension kya hoti hai?

List comprehension short way hai list create karne ka.

squares = [x*x for x in range(5)]

Normal loop:

squares = []
for x in range(5):
    squares.append(x*x)

Interview mein bolo:

“List comprehension code ko shorter aur readable banati hai, but overly complex comprehension avoid karna chahiye.”

12. Dictionary comprehension kya hoti hai?

squares = {x: x*x for x in range(5)}

Output:

{0: 0, 1: 1, 2: 4, 3: 9, 4: 16}

Useful for mapping, transformations, frequency logic.

13. Python mein shallow copy aur deep copy kya hai?

Shallow copy outer object copy karta hai, nested objects same reference share karte hain.

Deep copy outer plus nested objects bhi independently copy karta hai.

import copy

a = [[1, 2], [3, 4]]

b = copy.copy(a)
c = copy.deepcopy(a)

Agar nested list change hogi, shallow copy mein effect aa sakta hai.

Ye question product companies jaise Razorpay, PhonePe mein intermediate candidates ko poocha ja sakta hai.

14. String reverse kaise karoge?

Simple answer:

s = "python"
print(s[::-1])

Output:

nohtyp

Alternative:

''.join(reversed(s))

Slicing wala answer best hai, but interviewer agar internal pooche to explain karo: [::-1] means start to end with step -1.

15. String palindrome check kaise karoge?

def is_palindrome(s):
    return s == s[::-1]

Case-insensitive aur spaces ignore karne ke liye:

def is_palindrome(s):
    s = s.lower().replace(" ", "")
    return s == s[::-1]

Coding round mein edge cases mention karo, empty string, case, spaces.

Section 3: Functions, Scope, Lambda#

16. Function arguments ke types kya hote hain?

Python function arguments:

1. Positional arguments
2. Keyword arguments
3. Default arguments
4. Variable-length arguments: *args
5. Keyword variable-length: **kwargs

Example:

def greet(name, city="Delhi"):
    print(name, city)

greet("Riya")
greet(name="Aman", city="Pune")

17. *args aur **kwargs kya hai?

*args multiple positional arguments accept karta hai.

def add(*args):
    return sum(args)

**kwargs multiple keyword arguments accept karta hai.

def profile(**kwargs):
    print(kwargs)

profile(name="Aman", role="Python Developer")

Output dictionary hota hai.

18. Lambda function kya hota hai?

Lambda ek anonymous function hota hai, short one-line function.

square = lambda x: x*x
print(square(5))

Use with map, filter, sorted.

students = [("Aman", 80), ("Riya", 90)]
students.sort(key=lambda x: x[1])

But interview mein ye bhi bolo: complex logic ke liye normal function better hai.

19. Local, global aur nonlocal variable kya hote hain?

Local variable function ke andar hota hai.

Global variable function ke bahar hota hai.

nonlocal nested function mein outer function variable access/change karne ke liye use hota hai.

x = 10

def test():
    global x
    x = 20

global carefully use karna chahiye, warna code hard to debug ho jaata hai.

20. Recursion kya hota hai?

Function khud ko call kare to recursion.

Example factorial:

def fact(n):
    if n == 0:
        return 1
    return n * fact(n-1)

Important points:

• Base case zaroori hai
• Recursive case zaroori hai
• Python mein recursion limit hoti hai

India mein coding interviews mein recursion se factorial, Fibonacci, tree traversal, DFS poocha ja sakta hai.

Section 4: OOP Python Interview Questions#

21. Class aur object kya hote hain?

Class blueprint hoti hai. Object us class ka instance hota hai.

class Employee:
    def __init__(self, name):
        self.name = name

e1 = Employee("Aman")

Class mein data aur methods dono ho sakte hain.

22. self kya hota hai Python mein?

self current object ko refer karta hai.

class Student:
    def __init__(self, name):
        self.name = name

self.name object ka attribute hai. Python automatically object pass karta hai method call ke time.

Interview line:

“self instance reference hai, keyword nahi hai but convention hai.”

23. __init__ method kya hota hai?

__init__ constructor jaisa method hai jo object create hone ke baad initialize hota hai.

class User:
    def __init__(self, username):
        self.username = username

Ye object attributes set karne ke liye use hota hai.

24. Inheritance kya hai Python mein?

Inheritance mein ek class doosri class ke properties aur methods use kar sakti hai.

class Animal:
    def speak(self):
        print("sound")

class Dog(Animal):
    pass

d = Dog()
d.speak()

Benefits:

• Code reuse
• Parent-child relationship
• Common logic ek jagah

25. Method overriding kya hota hai?

Child class parent class ka method apne version se replace kare to overriding.

class Animal:
    def speak(self):
        print("sound")

class Dog(Animal):
    def speak(self):
        print("bark")

Object Dog ka hoga to bark print karega.

26. Polymorphism kya hota hai?

Same method name different objects ke liye different behavior de sakta hai.

class Cat:
    def sound(self):
        print("meow")

class Dog:
    def sound(self):
        print("bark")

for animal in [Cat(), Dog()]:
    animal.sound()

Ye Python ke duck typing se related hai: “If it behaves like a duck, treat it like a duck.”

27. Encapsulation kya hota hai Python mein?

Encapsulation ka matlab data aur methods ko class ke andar bundle karna. Python mein strict private nahi hota, naming convention hoti hai.

class BankAccount:
    def __init__(self):
        self.__balance = 0

Double underscore name mangling karta hai, direct access difficult hota hai.

Interview mein bolo:

“Python trust-based language hai. Private attributes convention aur name mangling se handle hote hain.”

28. Class method, static method aur instance method mein difference?

Instance method:

def method(self):
    pass

Object data access karta hai.

Class method:

@classmethod
def method(cls):
    pass

Class-level data access karta hai.

Static method:

@staticmethod
def method():
    pass

Class ke andar utility function jaisa hota hai, self ya cls nahi chahiye.

Section 5: Exceptions, Files, Modules#

29. Exception handling kaise karte hain?

try:
    x = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero")
finally:
    print("Done")

Blocks:

1. try: risky code
2. except: error handling
3. else: jab error nahi aaya
4. finally: always execute

Production code mein ye important hai, especially backend APIs mein.

30. raise keyword kya karta hai?

raise manually exception throw karta hai.

def withdraw(amount):
    if amount ≤ 0:
        raise ValueError("Amount must be positive")

Ye validation ke liye useful hai.

31. File read/write kaise karte hain?

Read:

with open("data.txt", "r") as file:
    content = file.read()

Write:

with open("data.txt", "w") as file:
    file.write("Hello")

with context manager hai, file automatically close kar deta hai.

32. Module aur package mein difference?

Module ek .py file hoti hai.

Package folder hota hai jisme multiple modules ho sakte hain. Usually __init__.py file hoti hai.

Example:

utils.py  module
myapp/    package

Interview mein concise bolo:

“Module single Python file hai, package modules ka collection hai.”

Section 6: Advanced Python Questions, Jo ₹10 LPA Plus Roles Mein Aate Hain#

33. Iterator aur iterable kya hote hain?

Iterable object woh hota hai jiske upar loop chala sakte ho.

Examples:

• list
• tuple
• string
• dict
• set

Iterator object woh hota hai jisme __iter__() aur __next__() methods hote hain.

nums = [1, 2, 3]
it = iter(nums)

print(next(it))

Output:

1

34. Generator kya hota hai?

Generator special iterator hota hai jo yield use karta hai.

def count():
    yield 1
    yield 2
    yield 3

Generators memory efficient hote hain, kyunki values ek saath memory mein store nahi hoti.

Use case:

• large files
• streaming data
• logs process karna
• data pipelines

Data engineering roles mein ye question important hai.

35. Decorator kya hota hai?

Decorator ek function hota hai jo doosre function ko modify ya extend karta hai without changing original code.

def decorator(func):
    def wrapper():
        print("Before")
        func()
        print("After")
    return wrapper

@decorator
def greet():
    print("Hello")

Use cases:

• logging
• authentication
• timing
• caching

Django, Flask, FastAPI mein decorators kaafi common hain.

36. Python mein GIL kya hota hai?

GIL ka full form Global Interpreter Lock hai. CPython mein ek time pe sirf ek thread Python bytecode execute kar sakta hai.

Simple meaning:

Python threads CPU-heavy tasks ke liye best nahi hote, but I/O tasks ke liye useful hain.

Examples:

• API calls
• file read/write
• database calls

CPU-heavy ke liye multiprocessing better ho sakta hai.

Interview line:

“GIL Python threads ko CPU-bound tasks mein limit karta hai, but I/O-bound tasks mein threading still useful hai.”

37. Multithreading aur multiprocessing mein difference?

Multithreading:

• Same process ke andar multiple threads
• Memory share hoti hai
• I/O-bound tasks ke liye good

Multiprocessing:

• Multiple processes
• Separate memory
• CPU-bound tasks ke liye good
• GIL issue avoid kar sakta hai

Example:

Agar tum 100 APIs call kar rahe ho, threading useful.
Agar tum heavy image processing kar rahe ho, multiprocessing better.

38. Python memory management kaise karta hai?

Python memory automatically manage karta hai. Important concepts:

1. Reference counting
2. Garbage collection
3. Private heap
4. Object allocation and deallocation

Agar object ka reference count zero ho jaata hai, memory free ho sakti hai.

Cyclic references ke liye garbage collector help karta hai.

Ye question senior backend roles mein aa sakta hai, especially ₹15 LPA plus interviews.

39. map, filter, aur reduce kya karte hain?

map: har element pe function apply karta hai.

nums = [1, 2, 3]
result = list(map(lambda x: x*x, nums))

filter: condition pass karne wale elements return karta hai.

even = list(filter(lambda x: x % 2 == 0, nums))

reduce: sequence ko single value mein reduce karta hai.

from functools import reduce

total = reduce(lambda a, b: a + b, nums)

Interview mein list comprehension comparison bhi bol sakte ho:

“Many times list comprehension more readable hoti hai.”

40. Python mein API banana kaise start karoge?

Aaj India mein backend roles ke liye Python plus API knowledge must hai. Flask, Django, FastAPI commonly used hain.

FastAPI example:

from fastapi import FastAPI

app = FastAPI()

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

Basic API interview points:

1. GET, POST, PUT, DELETE methods
2. Request and response
3. Status codes: 200, 201, 400, 401, 404, 500
4. JSON
5. Authentication
6. Database connection
7. Error handling

Razorpay, PhonePe, Paytm jaise fintech companies mein API reliability, error cases, idempotency, validation pe questions aa sakte hain.

Bonus: India 2026 Python Interview Pattern#

Ab thoda practical baat karte hain. Har company same questions nahi poochti. Pattern thoda role aur salary pe depend karta hai.

Fresher roles: ₹3.5 LPA to ₹8 LPA

Companies:

• TCS
• Infosys
• Wipro
• Cognizant
• Accenture
• Capgemini

Focus areas:

1. Python syntax
2. OOP basics
3. SQL basics
4. Simple coding questions
5. Projects explanation
6. HR questions

Common coding:

• Fibonacci
• factorial
• palindrome
• reverse string
• duplicate remove
• frequency count
• second largest number

1-3 years experience: ₹6 LPA to ₹15 LPA

Companies:

• Infosys Digital
• TCS Digital
• Wipro Turbo
• Paytm
• Zomato
• Swiggy
• mid-size startups

Focus areas:

1. APIs
2. Django or Flask or FastAPI
3. Database queries
4. Authentication basics
5. Exception handling
6. Git
7. Deployment basics
8. Problem solving

Yahan interviewer resume pe likhe projects ko deeply grill karega. Agar tumne “Django e-commerce app” likha hai, to woh poochega:

• Login kaise banaya?
• Password hash kaise hua?
• Payment gateway integrate kiya kya?
• Database schema kya tha?
• Error handling kaise kiya?

3-6 years experience: ₹12 LPA to ₹30 LPA

Companies:

• Razorpay
• PhonePe
• Paytm
• Swiggy
• Zomato
• Groww
• Dream11
• product startups

Focus areas:

1. System design basics
2. Async tasks
3. Caching
4. Message queues
5. Database indexing
6. API performance
7. Testing
8. Code quality
9. Security basics

Python ke saath tumhe ye bhi aana chahiye:

• Redis
• PostgreSQL or MySQL
• Celery
• Docker
• REST APIs
• basic AWS
• unit testing

Top Python Coding Questions Jo Practice Karne Chahiye#

Interview theory se clear nahi hota. Code likhna padega, tabhi confidence aayega.

Practice these:

1. List mein duplicates remove karo

nums = [1, 2, 2, 3, 4, 4]
unique = list(set(nums))
print(unique)

Order preserve karna ho:

nums = [1, 2, 2, 3, 4, 4]
unique = []

for n in nums:
    if n not in unique:
        unique.append(n)

print(unique)

2. Frequency count

s = "banana"
freq = {}

for ch in s:
    freq[ch] = freq.get(ch, 0) + 1

print(freq)

3. Second largest number

nums = [10, 20, 4, 45, 99]
unique = list(set(nums))
unique.sort()
print(unique[-2])

Better edge cases:

• empty list
• only one unique element
• duplicates

4. Anagram check

def is_anagram(a, b):
    return sorted(a) == sorted(b)

print(is_anagram("listen", "silent"))

5. Missing number

nums = [1, 2, 4, 5]
n = 5
expected = n * (n + 1) // 2
actual = sum(nums)
print(expected - actual)

Python Interview Preparation Plan: 14 Days#

Agar interview 2 hafte baad hai, panic mat kar. Ye plan follow karo.

Day 1-2: Basics revise

• data types
• loops
• conditions
• functions
• list, tuple, dict, set

Daily 10 small programs likho.

Day 3-4: OOP

Revise:

• class
• object
• inheritance
• overriding
• encapsulation
• class method
• static method

Ek mini project banao: Bank account system ya employee management.

Day 5-6: Coding problems

Practice:

• strings
• arrays
• hash maps
• recursion
• sorting basics

At least 20 questions solve karo.

Day 7-8: Backend basics

Agar Python developer role hai, Flask ya FastAPI basics karo.

Prepare:

• GET and POST API
• request body
• response JSON
• status codes
• validation
• database connection

Day 9-10: SQL plus Python

Most interviews mein SQL aayega. Practice:

• SELECT
• WHERE
• JOIN
• GROUP BY
• COUNT
• ORDER BY
• LIMIT

Python se database connect karna bhi samjho.

Day 11-12: Resume project revision

Apne resume ke har project ke liye ye answers ready rakho:

1. Problem kya solve kiya?
2. Tech stack kya tha?
3. Database schema kya tha?
4. Tumhara exact contribution kya tha?
5. Biggest bug kya aaya?
6. Performance improve kaise kiya?
7. Agar dobara banao to kya better karoge?

Day 13: Mock interview

Friend ke saath mock karo ya khud record karo. Answers bolke practice karo, sirf padhne se kaam nahi chalega.

Common HR answers ready rakho:

• Tell me about yourself
• Why Python?
• Why this company?
• Strengths and weaknesses
• Expected salary

Day 14: Final revision

Sirf notes revise karo. New topic start mat karo.

Raat ko 7-8 hours sleep lo. Interview mein tired dikhoge to confidence down lagega.

Salary Reality Check: Python Jobs India 2026#

Thoda real talk. Python aata hai matlab automatic ₹20 LPA nahi milta. Skill combination matter karta hai.

Only Python basics

Expected salary:

• ₹3 LPA to ₹6 LPA

Suitable roles:

• trainee developer
• support automation
• fresher software engineer

Python plus Django or Flask plus SQL

Expected salary:

• ₹5 LPA to ₹12 LPA

Suitable roles:

• backend developer
• Python developer
• web developer

Python plus FastAPI plus Docker plus cloud basics

Expected salary:

• ₹8 LPA to ₹18 LPA

Suitable roles:

• backend engineer
• API developer
• platform engineer

Python plus data engineering

Skills:

• Python
• SQL
• Pandas
• Airflow
• Spark basics
• AWS/GCP basics

Expected salary:

• ₹10 LPA to ₹25 LPA

Python plus product engineering skills

Skills:

• DSA
• system design basics
• APIs
• databases
• caching
• queues
• testing

Expected salary:

• ₹15 LPA to ₹35 LPA

Product companies jaise Razorpay, Swiggy, PhonePe, Zomato high salary deti hain, but interview depth bhi high hoti hai.

Common Mistakes Jo Candidates Karte Hain#

1. Resume mein Python likha, par basics weak

Interviewer simple poochta hai: list vs tuple. Candidate confuse. Bas yahin se impression down.

2. Projects copy-paste

GitHub se project uthaya aur resume mein daal diya. Panel pakad leta hai jab poochta hai:

• database table kya tha?
• authentication kaise kiya?
• error kaise handle kiya?

3. Code likhte time edge cases ignore

Example palindrome mein sirf happy case. Empty string, spaces, case sensitivity, special characters mention nahi.

4. Theory ratta, code zero

Python interview mein keyboard pe code likhna padega. Daily coding practice zaroori hai.

5. Salary discussion mein unclear

Agar HR pooche expected CTC, to market research karke bolo.

Example:

“Current market and my skillset ke basis pe, I am expecting around ₹8 LPA to ₹10 LPA, but I am open to discussion based on role and growth.”

Final Tips Before Python Interview#

Interview ke pehle ye checklist dekh lena:

• Resume PDF updated?
• Projects explain kar sakte ho?
• Python basics revise?
• 10 coding problems practice?
• SQL basics revise?
• GitHub link clean?
• LinkedIn updated?
• Internet and laptop ready?
• Camera, mic test?
• Notepad ready?

Aur sabse important: agar answer nahi aata, fake mat karo. Bolo:

“I have not used this deeply, but my understanding is…”

Ye honesty better lagti hai compared to random guessing.

Quick Revision: Top 40 Python Questions List#

Last minute ke liye pura list yahan hai:

1. Python kya hai?
2. Interpreted language kya hoti hai?
3. Dynamic typing kya hai?
4. List vs tuple?
5. Mutable vs immutable?
6. is vs ==?
7. Indentation kyun important?
8. None kya hai?
9. Input kaise lete hain?
10. Dictionary kya hai?
11. Set kya hai?
12. List comprehension?
13. Dictionary comprehension?
14. Shallow copy vs deep copy?
15. String reverse?
16. Palindrome check?
17. Function arguments types?
18. *args and **kwargs?
19. Lambda function?
20. Local vs global vs nonlocal?
21. Recursion?
22. Class and object?
23. self kya hai?
24. __init__ kya hai?
25. Inheritance?
26. Method overriding?
27. Polymorphism?
28. Encapsulation?
29. Class method vs static method?
30. Exception handling?
31. raise keyword?
32. File handling?
33. Module vs package?
34. Iterator vs iterable?
35. Generator?
36. Decorator?
37. GIL?
38. Threading vs multiprocessing?
39. Python memory management?
40. map, filter, reduce, API basics?

End Mein Seedhi Baat#

Python interview crack karna koi magic nahi hai. Tumhe 3 cheezein strong karni hain: basics, coding practice, aur resume projects ka honest explanation.

Agar tum fresher ho to pehle ₹4 LPA to ₹8 LPA role crack karo, phir skills add karke jump maaro. Agar tum experienced ho to Python ke saath backend, database, testing, system design basics strong karo, tab ₹15 LPA plus roles realistic ho jaate hain.

Aur haan, interview call tabhi aayega jab resume ATS filter cross karega. Agar tumne 100 applications bheje aur response nahi aaya, pehle resume check kar.

Apna resume free mein scan karo yahan: JobRise Free ATS Checker