Top Python Interview Questions and Answers for Freshers in 2026
Python Interview Questions for Freshers (2026)
Master the most common Python interview questions and answers to confidently crack fresher-level interviews in 2026.
Python Fundamentals
1. What is Python?
Python is a high-level, interpreted, object-oriented programming language known for its simple syntax and readability.
Key Features
- Easy to Learn
- Cross Platform
- Object-Oriented
- Large Standard Library
- Open Source
2. Why is Python popular?
- Simple Syntax
- Fast Development
- Data Science Support
- Web Development
- Automation
- Machine Learning
3. Is Python compiled or interpreted?
Python is an interpreted language. Python code is first converted into bytecode and then executed by the Python Virtual Machine (PVM).
4. What are Python data types?
Numeric Types
- int
- float
- complex
Sequence Types
- str
- list
- tuple
Mapping Type
- dict
Set Types
- set
- frozenset
5. Difference between List and Tuple?
| List | Tuple |
|---|---|
| Mutable | Immutable |
| Uses [] | Uses () |
| Slower | Faster |
List Questions
6. What is a List in Python?
A list is an ordered and mutable collection that can store multiple values.
fruits = [ "Apple", "Mango", "Orange" ]
7. How do you add elements to a List?
numbers = [1,2,3] numbers.append(4)
8. Difference between append() and extend()?
a = [1,2] a.append([3,4]) # [1,2,[3,4]]
a = [1,2] a.extend([3,4]) # [1,2,3,4]
9. How do you remove an item from a List?
numbers.remove(3)
or
numbers.pop()
10. What is List Comprehension?
A concise way to create lists.
squares = [ x*x for x in range(5) ]
Dictionary Questions
11. What is a Dictionary?
A dictionary stores data as key-value pairs.
student = {
"name":"John",
"age":21
}
12. How do you access Dictionary values?
student["name"]
13. Difference between get() and []?
get() returns None if the key does not exist.
[] raises a KeyError.
14. How do you add a key-value pair?
student["city"] = "Delhi"
15. How do you loop through a Dictionary?
for key,value in student.items(): print(key,value)
String Questions
16. Are strings mutable?
No.
Strings are immutable in Python.
17. Reverse a string
text = "Python" print( text[::-1] )
18. Difference between split() and join()?
split() converts string to list.
join() converts list to string.
19. What is slicing?
Slicing extracts a portion of a sequence.
text = "Python" print( text[0:3] ) # Pyt
20. How do you count occurrences in a string?
text.count("a")
Object-Oriented Programming (OOP)
21. What is OOP?
Object-Oriented Programming (OOP) is a programming paradigm that organizes code into objects and classes.
OOP helps make code reusable, maintainable, and scalable.
22. What is a Class?
A class is a blueprint for creating objects.
class Student: pass
23. What is an Object?
An object is an instance of a class.
class Student: pass s1 = Student()
24. What is a Constructor?
A constructor is a special method called automatically when an object is created.
class Student: def __init__(self,name): self.name = name
25. What is self in Python?
self refers to the current instance of a class.
It is used to access variables and methods of the object.
26. What are the Four Pillars of OOP?
- Encapsulation
- Inheritance
- Polymorphism
- Abstraction
Inheritance Questions
27. What is Inheritance?
Inheritance allows one class to acquire properties and methods from another class.
class Animal:
def speak(self):
print("Animal")
class Dog(Animal):
pass
28. Benefits of Inheritance?
- Code Reusability
- Reduced Redundancy
- Easier Maintenance
29. Types of Inheritance in Python
- Single Inheritance
- Multiple Inheritance
- Multilevel Inheritance
- Hierarchical Inheritance
- Hybrid Inheritance
30. What is Multiple Inheritance?
class A: pass class B: pass class C(A,B): pass
A class inherits from multiple parent classes.
Polymorphism Questions
31. What is Polymorphism?
Polymorphism means "many forms."
The same method name can behave differently depending on the object.
32. Example of Polymorphism
class Dog:
def sound(self):
print("Bark")
class Cat:
def sound(self):
print("Meow")
33. What is Method Overriding?
When a child class provides its own implementation of a method already defined in the parent class.
class Animal:
def speak(self):
print("Animal")
class Dog(Animal):
def speak(self):
print("Bark")
34. Does Python support Method Overloading?
Python does not support traditional method overloading like Java.
It can be achieved using default arguments or *args.
Encapsulation Questions
35. What is Encapsulation?
Encapsulation is the process of restricting direct access to data and exposing it through methods.
36. How do you create a private variable?
class Student: def __init__(self): self.__marks = 90
37. What is Name Mangling?
Python changes private variables internally to prevent direct access.
_obj.__marks becomes _obj._ClassName__marks
Abstraction Questions
38. What is Abstraction?
Abstraction hides implementation details and shows only essential features.
39. How is Abstraction implemented?
from abc import ABC, abstractmethod
40. Example of Abstract Class
from abc import ABC, abstractmethod class Shape(ABC): @abstractmethod def area(self): pass
Exception Handling Questions
41. What is an Exception?
An exception is a runtime error that interrupts normal program execution.
42. Why use Exception Handling?
- Prevent Program Crash
- Handle Errors Gracefully
- Improve Reliability
43. What is try-except?
try:
print(10/0)
except ZeroDivisionError:
print("Error")
44. What is finally?
finally always executes whether an exception occurs or not.
try:
pass
finally:
print("Done")
45. What is else in Exception Handling?
else executes only when no exception occurs.
try:
print(10)
except:
pass
else:
print("Success")
46. Difference between Exception and Error?
| Exception | Error |
|---|---|
| Can be handled | Usually cannot be handled |
| Recoverable | Often fatal |
47. How do you raise an Exception?
raise ValueError( "Invalid Value" )
48. What is a Custom Exception?
class MyError( Exception ): pass
49. What is ZeroDivisionError?
Occurs when dividing a number by zero.
10/0
50. What is KeyError?
Occurs when accessing a dictionary key that does not exist.
data = {
"name":"John"
}
print(
data["age"]
)
Generators Questions
51. What is a Generator?
A generator is a special function that returns an iterator and produces values one at a time using the yield keyword.
Generators are memory efficient because they do not store all values in memory at once.
52. Generator Example
def numbers(): yield 1 yield 2 yield 3 for num in numbers(): print(num)
53. Difference Between return and yield?
| return | yield |
|---|---|
| Ends Function | Pauses Function |
| Returns Single Value | Returns Multiple Values Over Time |
| No State Preservation | Preserves State |
54. Why Use Generators?
- Memory Efficiency
- Large Data Processing
- Lazy Evaluation
- Faster Iteration
55. What is Lazy Evaluation?
Values are generated only when needed instead of all at once.
Iterator Questions
56. What is an Iterator?
An iterator is an object that allows sequential access to elements.
57. What methods must an Iterator implement?
- __iter__()
- __next__()
58. Iterator Example
numbers = iter([1,2,3]) print(next(numbers)) print(next(numbers))
59. Difference Between Iterable and Iterator?
| Iterable | Iterator |
|---|---|
| Can Be Iterated | Produces Values |
| Uses iter() | Uses next() |
| List, Tuple, Set | Iterator Object |
60. Is Every Iterator an Iterable?
Yes.
Every iterator is iterable, but not every iterable is an iterator.
File Handling Questions
61. How do you open a file in Python?
file = open( "data.txt", "r" )
62. File Modes in Python?
- r → Read
- w → Write
- a → Append
- x → Create
- rb → Read Binary
- wb → Write Binary
63. How do you read a file?
file.read()
64. How do you read file line by line?
for line in file: print(line)
65. Why use with statement?
It automatically closes the file after use.
with open( "data.txt", "r" ) as file: print( file.read() )
Tricky Python Output Questions
66. Output?
print(type([]))
Answer:
67. Output?
print(bool([]))
Answer:
False
68. Output?
print(bool([1]))
Answer:
True
69. Output?
a = [1,2,3] b = a b.append(4) print(a)
Answer:
[1,2,3,4]
Because both variables reference the same list.
70. Output?
print(10//3)
Answer:
3
Floor division returns the integer quotient.
71. Output?
print(2**3)
Answer:
8
72. Output?
print("Python"*3)
Answer:
PythonPythonPython
73. Output?
print(
len(
{"a":1,"b":2}
)
)
Answer:
2
74. Output?
x = None print( x is None )
Answer:
True
75. Output?
print( list( range(5) ) )
Answer:
[0,1,2,3,4]
Python Fresher Interview Preparation Strategy
Most Asked Topics
- Lists
- Dictionaries
- Tuples
- Functions
- OOP Concepts
- Inheritance
- Polymorphism
- Exception Handling
- Generators
- File Handling
Python Fresher Roadmap
Python Basics ↓ Lists & Tuples ↓ Dictionaries ↓ Functions ↓ OOP ↓ Inheritance ↓ Exceptions ↓ Generators ↓ File Handling ↓ Interview Ready 🚀
Frequently Asked Questions
Which Python topic is asked most in fresher interviews?
Lists, Dictionaries, OOP, Exception Handling, and Generators are among the most frequently asked topics.
Are coding questions asked in fresher interviews?
Yes. Common questions include string reversal, palindrome checking, list operations, and dictionary manipulation.
Is OOP important for Python interviews?
Absolutely. Almost every Python interview includes questions about Classes, Objects, Inheritance, and Polymorphism.
Should I memorize answers?
No. Focus on understanding concepts and practicing examples so you can explain them confidently.
How should I prepare one day before the interview?
Revise OOP, Exception Handling, Lists, Dictionaries, Generators, and practice a few coding questions.
Conclusion
Python remains one of the most popular programming languages for web development, automation, data science, and artificial intelligence.
For fresher interviews, strong fundamentals are far more important than advanced frameworks.
If you can confidently explain Lists, Dictionaries, OOP, Exception Handling, Generators, and basic Python concepts, you'll be well prepared for most entry-level interviews.
Practice these questions regularly, write code for each concept, and focus on understanding rather than memorization.
Strong Python fundamentals are the foundation of a successful software development career.
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