Whether you're a fresher just stepping into the world of programming, a coding enthusiast looking to crack your first technical interview, or a seasoned developer aiming to level up your career, preparing for a Python interview can often feel overwhelming. With the ever-evolving nature of technology and the increasing demand for Python developers in areas such as web development, data science, machine learning, and automation, having a strong grasp of core Python concepts is more important than ever.
To ease your preparation journey and help you build confidence, we've carefully curated this comprehensive list of the top 20 most commonly asked Python interview questions and answers for 2025. This guide is thoughtfully divided into three sections – Basic, Intermediate, and Advanced—so that you can systematically improve your knowledge and tackle questions of varying difficulty levels. Whether you're appearing for your first job interview or aiming for a high-level position, this resource is designed to give you a competitive edge and help you stand out in your next Python interview.
Section 1: Basic Python Interview Questions
These questions are ideal for freshers and candidates with up to 1 year of experience.
1. What are the key features of Python?
Python is
- Easy to learn and write
- Interpreted and dynamically typed
- Supports multiple programming paradigms
- Rich in standard libraries
- Open-source and cross-platform
2. What are Python’s core data types?
- Numeric (int, float, complex)
- Sequence (list, tuple, range, string)
- Set (set, frozenset)
- Mapping (dict)
- Boolean, NoneType
4. What is PEP 8?
PEP 8 is the Python Enhancement Proposal that provides guidelines for writing clean and readable Python code.
5. How is Python interpreted?
Python code is interpreted line by line, which makes debugging easier but may affect execution speed compared to compiled languages.
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Section 2: Intermediate Python Interview Questions
Ideal for candidates with 1–3 years of experience.
1. What are *args and **kwargs in Python?
- *args: Allows you to pass a variable number of positional arguments.
- **kwargs:Allows you to pass a variable number of keyword arguments.
2. What is the Difference Between is and ==?
- ==: Compares values
- is : Compares identity (memory address)
a = [1, 2]; b = a
print(a == b) # True
print(a is b) # True
3. What is a Lambda Function?
A lambda is a short anonymous function defined using the lambda keyword.
add = lambda x, y: x + y
print(add(5, 3)) # Output: 8
4. What is list comprehension in Python?
A concise way to create lists:
squares = [x**2 for x in range(5)]
5. What is the difference between a shallow copy and a Deep Copy?
- Shallow copy: Copies only the outer object
- Deep copy: Copies outer and nested objects
import copy
shallow = copy.copy(list_obj)
deep = copy.deepcopy(list_obj)
6. How is exception handling done in Python?
try:
10 / 0
except ZeroDivisionError:
print("Cannot divide by zero.")
finally:
print("Done.")
7. What is a Python module and package?
- Module: A single .py file
- Package: A directory containing multiple modules and an __init__.py file
Section 3: Advanced Python Interview Questions
Perfect for experienced developers, data scientists, and backend engineers.
1. What are Decorators in Pydecorators
A decorator is a function that modifies another function without changing its source code:
def decorator(func):
def wrapper():
print("Before")
func()
print("After")
return wrapper
@decorator
def say_hello():
print("Hello")
2. What is a Generator?
Generators return one item at a time using the yield keyword, which is ideal for memory-efficient operations.
def gen():
yield 1
yield 2
3. What is the Global Interpreter Lock (GIL)?
GIL is a mutex in CPython that allows only one thread to execute Python bytecode at a time, limiting true parallelism in multi-threaded applications.
4. How is Memory Managed in Python?
- Automatic memory management via reference counting
- Built-in garbage collector to handle cyclic references
5. What is the Difference Between range() and range()?
- range() returns an iterable (Python 3)
- range() existed in Python 2 (not in Python 3)
6. How do you connect to a database using Python?
import sqlite3
conn = sqlite3.connect('mydb.db')
cursor = conn.cursor()
cursor.execute("SELECT * FROM users")
7. What Debugging Tools are Available in Python?
- pdb (Python Debugger)
- print() statements
- IDE-based debuggers (e.g., PyCharm, VS Code)
Conclusion
Mastering these top Python interview questions and answers can give you a solid edge in your job search. Whether you're preparing for an entry-level role or an advanced backend developer position, this guide covers it all.
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