Contents
Top 20 Python Interview Questions and Answers for Freshers in 2026
Python continues to be one of the most in-demand programming languages for beginners and professionals alike. Its simplicity, versatility, and strong community support make it ideal for web development, data science, AI/ML, and automation.
If you’re preparing for a Python interview as a fresher, Looking to land your first Python job? This guide covers Python interview questions for freshers 2026, with detailed answers to help you prepare and crack interviews confidently.it’s important to be ready for both conceptual questions and coding-based queries. Here’s a curated list of the Top 20 Python Interview Questions with Answers to help you prepare effectively.
What is Python and why has it gained widespread popularity?
Python is an easy-to-learn programming language that focuses on clean and readable code. Its wide usage across different IT domains makes it one of the most preferred languages today
Why popular:
- Easy syntax and fast learning curve
- Supports multiple paradigms (OOP, procedural, functional)
- Extensive libraries for AI, web, and data analysis
2. What are the main advantages of Python?
- Simple and readable code
- Large, active community support
- Platform-independent
- Rich ecosystem of libraries like NumPy, Pandas, Flask, Django, TensorFlow
- Speeds up development with fewer lines of code
3. Mention some limitations of Python.
- Slower execution than compiled languages (C/C++)
- High memory usage
- Not ideal for mobile app development
- GIL restricts multi-threaded CPU-bound tasks
4. What are Python’s standard data types?
- Numeric: int, float, complex
- Sequence: list, tuple, range
- Text: str
- Set types: set, frozenset
- Mapping: dict
- Boolean: bool
- None: NoneType
5. How is memory managed in Python?
- Python uses a private heap to store objects.
- Garbage Collector (GC) automatically frees memory of unused objects.
- Developers do not need manual memory management.
6. Difference between List, Tuple, and Set?
| Feature | List | Tuple | Set |
| Ordered | Yes | Yes | No |
| Mutable | Yes | No | Yes |
| Duplicates | Allowed | Allowed | Not allowed |
7. Python 2 vs Python 3
- Python 2: print is a statement, integer division truncates (5/2 = 2)
- Python 3: print() is a function, better Unicode support, integer division returns float (5/2 = 2.5)
8. What are mutable and immutable objects?
-
- Mutable: Values can be modified even after the object is created (such as lists, dictionaries, and sets).
- Immutable: Cannot be changed (tuple, str, int, float)
9. What is PEP 8?
PEP 8 is the Python Enhancement Proposal that defines coding style guidelines to ensure readable, consistent, and maintainable Python code.
10. Explain Python namespaces and scope.
- Namespace: A container mapping variable names to objects.
- Scope types:
- Local: Inside a function
- Enclosing: Nested function
- Global: Top-level script
- Built-in: Python reserved keywords and functions
11. Difference between is and ==
- is: Checks if two objects share the same memory location
- == : Used to compare whether two values are the same
12. What are Python decorators?
A decorator is a function that modifies another function without changing its code.
Example:
def decorator(func):
def wrapper():
print (“Executing before function call”)
func()
print(“After function”)
return wrapper
13. Difference between shallow copy and deep copy
- Shallow copy: Copies references; changes affect original objects
- Deep copy: Copies all nested objects; independent of original
14. Difference between modules and packages
- Module: A single .py file
- Package: A folder containing multiple Python modules and an __init__.py file to make it a package
15. Difference between iterators and generators
- Iterator: Object with __iter__() and __next__() methods
- Generator: Function using yield to produce values lazily
16. What are lambda functions?
- Anonymous, one-line functions
Example:
square = lambda x: x*x
print(square(5)) # Output: 25
17. What is Python’s Global Interpreter Lock (GIL)?
- Ensures that only a single thread can run Python bytecode at any given moment.
- Useful for memory management
- Limits true multithreading for CPU-bound tasks; use multiprocessing instead
18. How does Python handle exceptions?
Keywords:
- try: Run code block
- except: Handle exceptions
- finally: Always executes
- else: Executes if no exception
- raise: Manually raise exceptions
19. Name popular Python libraries for different domains
- Web: Django, Flask
- Data Science: Pandas, NumPy, Matplotlib
- AI/ML: TensorFlow, PyTorch, Scikit-learn
- Automation: Selenium
20. Real-world applications of Python
- Web Development
- Data Science & Machine Learning
- Automation & Scripting
- Game Development
- Cloud Computing & IoT
Python interviews test both your core understanding and practical coding skills. By learning these top 20 commonly asked Python interview questions with clear explanations, freshers can confidently tackle entry-level Python developer roles in 2026.
At Naresh iTech, we provide Python Full Stack Training with live projects, real-world case studies, and placement support to make you industry-ready.
👉 Begin your Python journey with Naresh i Technologies – Enrol now!
- Click here for Python full Stack Course