100 Python Quiz Questions & Answers 2026

Python Basics — 25 Questions

1. Who created Python? (Guido van Rossum — released in 1991)
2. What is Python's design philosophy? (Readability and simplicity — "There should be one obvious way to do it")
3. What is Python's file extension? (.py)
4. How do you print in Python? (print("Hello"))
5. What are Python's basic data types? (int, float, str, bool, list, tuple, dict, set)
6. What is the difference between list and tuple? (List is mutable; tuple is immutable)
7. How do you create a dictionary in Python? (d = {"key": "value"} or dict())
8. What is a Python set? (Unordered collection of unique elements)
9. How do you define a function? (def function_name(parameters):)
10. What is a lambda function? (Anonymous function — lambda x: x*2)
11. What does "self" refer to in Python? (Reference to the current instance of the class)
12. What is list comprehension? ([expression for item in iterable if condition])
13. What is a generator? (Function using yield — generates values lazily)
14. What is PEP 8? (Python's official style guide for code formatting)
15. How do you handle exceptions in Python? (try: ... except ExceptionType: ...)
16. What is the difference between == and is? (== checks value equality; is checks object identity)
17. What does the * operator do in function args? (*args captures variable positional arguments as a tuple)
18. What does **kwargs do? (Captures variable keyword arguments as a dictionary)
19. What is a decorator? (Function that modifies another function — @decorator syntax)
20. What is the with statement used for? (Context manager — automatically handles setup/teardown)
21. How do you import a module? (import module_name or from module import function)
22. What is __init__.py? (Marks directory as a Python package)
23. What is a virtual environment? (Isolated Python environment for project dependencies)
24. What is pip? (Python package installer — pip install package_name)
25. What is the difference between append() and extend() for lists? (append adds one element; extend adds all elements from iterable)

Python Libraries & Frameworks — 25 Questions

1. What is NumPy used for? (Numerical computing — efficient array operations)
2. What is Pandas used for? (Data analysis and manipulation with DataFrames)
3. What is Matplotlib used for? (Creating charts and visualizations)
4. What is Django? (High-level Python web framework — "batteries included")
5. What is Flask? (Lightweight micro web framework for Python)
6. What is FastAPI? (Modern, fast web framework for building APIs)
7. What is TensorFlow? (Google's ML/AI library for deep learning)
8. What is PyTorch? (Facebook's deep learning framework — popular in research)
9. What is Scikit-learn? (Machine learning library with easy-to-use tools)
10. What is Requests? (Python library for making HTTP requests)
11. What is BeautifulSoup? (HTML/XML parsing for web scraping)
12. What is Selenium? (Web browser automation for testing)
13. What is SQLAlchemy? (Python SQL toolkit and ORM)
14. What is Celery? (Asynchronous task queue for Python)
15. What is Pytest? (Python testing framework)
16. What is Keras? (A high-level neural networks API, often used with TensorFlow)
17. What is Seaborn used for? (Statistical data visualization, built on top of Matplotlib)
18. What is PySpark? (The Python API for Apache Spark, used for big data processing)
19. What is Jupyter Notebook? (An interactive coding environment popular for data science)
20. What is OpenCV used for in Python? (Computer vision tasks like image and video processing)
21. What is NLTK? (Natural Language Toolkit — a library for text processing and NLP)
22. What is Pillow (PIL) used for? (Image processing and manipulation in Python)
23. What is Plotly used for? (Creating interactive data visualizations)
24. What is Gunicorn used for? (Running Python web applications in production, as a WSGI server)

Data Science & Machine Learning — 25 Questions

1. What does ML stand for? (Machine Learning)
2. What is supervised learning? (Training a model on labeled data to predict outcomes)
3. What is unsupervised learning? (Training a model on unlabeled data to find patterns)
4. What is a neural network? (A model inspired by the brain, made of interconnected layers of nodes)
5. What is overfitting in machine learning? (When a model performs well on training data but poorly on new data)
6. What is a training set vs a test set? (Training set teaches the model; test set evaluates its performance)
7. What is a DataFrame in Pandas? (A two-dimensional labeled data structure, similar to a table)
8. What Python library is most commonly used for deep learning research? (PyTorch, alongside TensorFlow)
9. What is feature engineering? (Creating new input variables to improve model performance)
10. What is a confusion matrix used for? (Evaluating the performance of a classification model)
11. What is regression in machine learning? (Predicting a continuous numerical value)
12. What is classification in machine learning? (Predicting a discrete category or label)
13. What is cross-validation? (A technique to assess model performance using multiple data splits)
14. What does NumPy's "ndarray" represent? (An efficient, multi-dimensional array object)
15. What is a hyperparameter in machine learning? (A configuration set before training, like learning rate)
16. What library is most associated with reinforcement learning research in Python? (OpenAI Gym, among others)
17. What is the role of an activation function in a neural network? (Introducing non-linearity to help the network learn complex patterns)
18. What is gradient descent used for? (Optimizing model parameters by minimizing a loss function)
19. What is a Jupyter "kernel"? (The computational engine that executes code in a notebook)
20. What is one-hot encoding? (Converting categorical variables into a binary vector format)
21. What is the purpose of Scikit-learn's "fit" method? (Training a model on data)
22. What Python library is most used for web scraping data for ML projects? (BeautifulSoup or Scrapy)
23. What is a "pipeline" in Scikit-learn? (A sequence of data processing and modeling steps chained together)
24. What is transfer learning? (Reusing a pre-trained model on a new but related task)
25. What Python framework is commonly used for building and deploying LLM-powered applications? (LangChain, among others)

Best Practices & Modern Python — 25 Questions

1. What is type hinting in Python? (Optionally specifying expected variable types, e.g. def f(x: int) -> int:)
2. What is an f-string? (A formatted string literal, e.g. f"Hello {name}")
3. What is the purpose of a docstring? (Documenting what a function, class, or module does)
4. What is the Zen of Python? (A set of guiding principles for writing Python code, accessible via "import this")
5. What is duck typing in Python? (Determining an object's suitability by its methods/behavior, not its type)
6. What is a context manager used for? (Managing resources like files safely with setup and cleanup)
7. What does the "yield" keyword do? (Pauses a function and returns a value, allowing it to resume later)
8. What is the Global Interpreter Lock (GIL)? (A mutex that allows only one thread to execute Python bytecode at a time)
9. What is asynchronous programming in Python, using async/await? (Writing code that can run tasks concurrently without blocking)
10. What is the difference between a module and a package in Python? (A module is a single file; a package is a directory of modules)
11. What is monkey patching? (Dynamically modifying a class or module at runtime)
12. What is the purpose of "requirements.txt"? (Listing a Python project's dependencies for installation)
13. What is a Python "walrus operator" (:=)? (An assignment expression introduced in Python 3.8)
14. What is the difference between deep copy and shallow copy? (Shallow copy copies references; deep copy copies nested objects fully)
15. What is a metaclass in Python? (A class whose instances are classes themselves, controlling class creation)
16. What is the purpose of "__name__ == '__main__'"? (Running code only when the script is executed directly, not imported)
17. What is memoization? (Caching function results to avoid redundant computation)
18. What is a Python "slice"? (A way to extract a portion of a sequence, e.g. list[1:3])
19. What is the difference between mutable and immutable objects in Python? (Mutable objects can change after creation; immutable cannot, e.g. strings and tuples)
20. What is the purpose of "venv" in Python? (Creating isolated virtual environments for projects)
21. What is "type()" used for in Python? (Checking the data type of an object)
22. What is the difference between "is" and "==" again, in practical use? ("is" checks object identity; "==" checks value equality)
23. What is a Python "namedtuple"? (A tuple subclass with named fields for readability)
24. What is "asyncio" used for in Python? (Writing concurrent code using async/await syntax)
25. What does the Python community use to manage code style automatically? (Tools like Black or Flake8)
26. What is "pip freeze" used for? (Listing installed packages and their versions in the current environment)