Most Asked Python Interview Questions and Answers in 2026
Preparing for a Python interview in 2026 requires mastering both core concepts and advanced problem-solving skills. This guide includes 50 essential Python Interview Questions and Answers for freshers and experienced developers. Each question is crafted to reflect real hiring expectations and help you succeed in competitive technical interviews. If you want to strengthen your Python coding skills beyond interview Q&As, explore our guide on best AI tools for Python coding that can help you practice smarter and code faster. Python Interview Questions and Answers for Freshers (Beginner Level) Q1. What is Python? Python is a high-level, interpreted programming language created by Guido van Rossum in 1991. It emphasizes code readability with simple syntax and supports multiple paradigms including procedural, object-oriented, and functional programming. Q2. What are Python’s key features? Python is interpreted, dynamically typed, and supports automatic memory management. It offers cross-platform compatibility, an extensive standard library, and simple syntax that makes it ideal for beginners and experienced developers alike. Q3. Difference between list and tuple? Lists are mutable and use []; tuples are immutable and use (). Tuples are faster and memory-efficient. Example: my_list = [1, 2, 3] # Can modify my_tuple = (1, 2, 3) # Cannot modify Q4. What is PEP 8? PEP 8 is the Python style guide for writing clean, readable code. It covers naming conventions, indentation (4 spaces), line length (79 characters), and import organization. Q5. What are decorators? Decorators modify function behavior without changing source code. They use @ symbol and wrap functions to add functionality. Example: @timing_decorator def my_function(): pass Q6. Difference between ‘==’ and ‘is’? ‘==’ compares values. ‘is’ compares object identity (same memory location). Use ‘is’ for None checks.Example: a = [1, 2]; b = [1, 2] a == b # True (same values) a is b # False (different objects) Q7. What are Python’s built-in data types? Numeric: int, float, complex. Sequence: list, tuple, range. Text: str. Mapping: dict. Set: set, frozenset. Boolean: bool. Binary: bytes, bytearray. None type represents absence of value. Q8. Mutable vs immutable objects? Mutable objects (lists, dicts, sets) can be modified after creation. Immutable objects (int, str, tuple) cannot be changed; modifications create new objects. Q9. Purpose of ‘self’ in Python classes? ‘self’ represents the instance, allowing access to instance attributes and methods. Example:class Person: def __init__(self, name): self.name = name p1 = Person(“John”) print(p1.name) Output: John Q10. Difference between break, continue, pass? break exits the loop entirely. continue skips current iteration. pass does nothing; placeholder when syntax requires statement. Q11. How do you handle exceptions in Python? Use try-except blocks. Code that might raise exceptions goes in try, handling in except. Example:try: result = 10 / 0 except ZeroDivisionError: print(“Cannot divide by zero”) Q12. What is a dictionary? A dictionary is an unordered collection of key-value pairs. Keys must be unique and immutable. Example:person = {‘name’: ‘John’, ‘age’: 25} print(person[‘name’]) # John print(person.get(‘age’)) # 25 Q13. Shallow copy vs deep copy? Shallow copy references original nested objects. Deep copy creates completely independent copy. Example:import copy shallow = copy.copy(original) deep = copy.deepcopy(original) Q14. What is list comprehension? List comprehension creates lists concisely: [expression for item in iterable if condition]. Example:squares = [x**2 for x in range(10)] evens = [x for x in range(20) if x % 2 == 0] Q15.What are *args and **kwargs? *args collects positional arguments into tuple. **kwargs collects keyword arguments into dict. Example:def func(*args, **kwargs): print(args) # (1, 2, 3) print(kwargs) # {‘a’: 1, ‘b’: 2} Q16.Function vs method? Functions are independent code blocks. Methods are functions belonging to a class. Built-in functions: len(), print(). Methods: str.upper(), list.append(). Q17.How does Python manage memory? Python uses reference counting and garbage collection. Objects have reference count; when zero, memory is freed. GC handles circular references. Q18. Purpose of __init__ method? __init__ is the constructor called when creating instances. It initializes object attributes. Example: class Dog: def __init__(self, name): self.name = name d = Dog(“Buddy”) print(d.name) Output: Buddy Q19. What is slicing? Slicing extracts portions of sequences using [start:stop:step]. Example:nums = [0, 1, 2, 3, 4, 5] nums[2:5] # [2, 3, 4] nums[::-1] # [5, 4, 3, 2, 1, 0] (reversed) Q20. remove(), pop(), del differences? remove(value) deletes first occurrence of value. pop(index) removes and returns element at index. del removes by index/slice. Choose based on whether you need the removed value. Intermediate Python Developer Interview Questions Q21. What is the GIL? The Global Interpreter Lock prevents multiple threads from executing Python bytecode simultaneously. It limits CPU-bound multithreading. Use multiprocessing for CPU-intensive parallel tasks. Q21. @staticmethod vs @classmethod? @staticmethod doesn’t receive self or cls. @classmethod receives cls and accesses class variables. Example:class MyClass: @staticmethod def helper(): pass @classmethod def factory(cls): return cls() Q23. What are generators? Generators yield values one at a time using ‘yield’. They maintain state and are memory-efficient for large datasets. Example:def countdown(n): while n > 0: yield n n -= 1 for num in countdown(3): print(num) Output:3 2 1 Q24. __str__ vs __repr__? __str__ returns user-friendly string for print(). __repr__ returns developer string that ideally recreates the object. Example:class Point: def __init__(self, x, y): self.x = x self.y = y def __str__(self): return f”({self.x}, {self.y})” def __repr__(self): return f”Point({self.x}, {self.y})” p = Point(3, 4) print(str(p)) print(repr(p)) Output: (3, 4) Point(3, 4) Q25. What is namespace in Python? Namespace maps names to objects. Types: built-in, global, enclosing, local. LEGB rule: Local, Enclosing, Global, Built-in. Q26. What is a closure? A closure is a function remembering values from enclosing scope after outer function finishes. Example:def multiplier(n): def inner(x): return x * n return inner double = multiplier(2) print(double(5)) Output: 10 Q27. Iterators vs iterables? Iterables return iterators via __iter__(). Iterators implement __iter__() and __next__(). Iterators can only be traversed once. Q28. What is polymorphism? Polymorphism allows different classes to be treated uniformly through common interfaces. Python uses duck typing and method overriding. Q29. What is the with statement? The…
