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Python Interview Questions and Answers 2026 - Top 10 Python Programming Questions - Admin - 03-21-2026
Python is the fastest-growing programming language tested in technical interviews at every IT company in 2026, especially at companies like Google, Netflix, Spotify, and data-driven startups. Whether you're preparing for Python Developer, Data Scientist, or ML Engineer roles, these top 10 Python interview questions are most frequently asked.
Keywords: Python interview questions 2026, Python programming interview, Python data types interview, Python OOP interview, Python decorator interview questions
1. What are the key features of Python?
Python's key features include: Interpreted language (no compilation needed), Dynamically typed, Supports multiple paradigms (OOP, functional, procedural), Extensive standard library, Easy-to-read syntax with indentation-based blocks, Cross-platform compatibility, Large community and ecosystem (pip packages), and Automatic memory management with garbage collection.
2. What is the difference between a list, tuple, set, and dictionary?
List: ordered, mutable, allows duplicates, uses []. Tuple: ordered, immutable, allows duplicates, uses (). Set: unordered, mutable, no duplicates, uses {}. Dictionary: ordered (Python 3.7+), mutable, key-value pairs, keys must be unique, uses {}. Lists are best for ordered collections, tuples for fixed data, sets for unique items, and dictionaries for key-based lookups.
3. What are decorators in Python?
A decorator is a function that takes another function as input and extends its behavior without modifying it. Decorators use the @decorator_name syntax above the function definition. Common built-in decorators include @staticmethod, @classmethod, and @property. Decorators are widely used in frameworks like Flask and Django for routing, authentication, and caching.
4. What is the difference between shallow copy and deep copy?
A shallow copy creates a new object but references the same nested objects as the original. Changes to nested objects affect both copies. A deep copy creates a completely independent copy including all nested objects. Use copy.copy() for shallow copy and copy.deepcopy() for deep copy. Understanding this is crucial when working with mutable nested data structures.
5. What are generators in Python?
Generators are functions that use the yield keyword to return values one at a time, maintaining state between calls. They are memory-efficient as they produce items lazily (on demand) instead of storing all values in memory. Generator expressions use parentheses: (x*2 for x in range(10)). They are ideal for processing large datasets, reading large files, and creating infinite sequences.
6. Explain Python's GIL (Global Interpreter Lock).
The GIL is a mutex in CPython that allows only one thread to execute Python bytecode at a time. This means CPU-bound multithreaded programs don't achieve true parallelism. The GIL exists to simplify memory management and make C extensions thread-safe. For CPU-bound tasks, use multiprocessing module instead. For I/O-bound tasks, threading still provides benefits despite the GIL.
7. What is the difference between *args and **kwargs?
*args allows a function to accept any number of positional arguments as a tuple. **kwargs allows a function to accept any number of keyword arguments as a dictionary. They can be used together: def func(*args, **kwargs). *args must come before **kwargs. These are commonly used in function wrappers, decorators, and when passing arguments to parent class constructors.
8. What are list comprehensions and when should you use them?
List comprehensions provide a concise way to create lists: [expression for item in iterable if condition]. They are faster and more readable than traditional for loops for simple transformations. Example: squares = [x**2 for x in range(10)]. Use them for simple operations; for complex logic, prefer regular loops. Dictionary and set comprehensions follow similar syntax.
9. What is exception handling in Python?
Python uses try-except-else-finally blocks for exception handling. try contains code that might raise an exception. except catches specific exceptions. else runs if no exception occurred. finally always runs for cleanup. Common exceptions include ValueError, TypeError, KeyError, and IndexError. Custom exceptions inherit from Exception class. Use raise to throw exceptions explicitly.
10. What is the difference between Python 2 and Python 3?
Key differences: print is a function in Python 3 (print()), integer division returns float in Python 3 (5/2 = 2.5), strings are Unicode by default in Python 3, range() returns an iterator in Python 3, input() always returns string in Python 3. Python 2 reached end of life in 2020. All new projects should use Python 3.10+ which includes structural pattern matching and improved error messages.
RE: Python Interview Questions and Answers 2026 - Top 10 Python Programming Questions - indian - 03-22-2026
Python's versatility across web development, data science, and automation makes it a top interview topic. Understanding decorators, generators, and memory management concepts is key for landing Python-focused roles in 2026.
RE: Python Interview Questions and Answers 2026 - Top 10 Python Programming Questions - mohan - 03-22-2026
Python is definitely a must-know language for any developer in 2026. I would add that understanding list comprehensions, generators, and the difference between shallow and deep copy are also commonly asked. For data science roles, knowing NumPy, Pandas, and basic ML concepts with scikit-learn is essential. Practice coding on platforms like LeetCode and HackerRank to build confidence with Python-specific problems.