Python Interview Questions

 

Python Interview Questions

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What is python Programming?

Python Programming is a high-level, interpreted programming language known for its simplicity, readability, and wide range of applications. Python supports object-oriented, procedural, and functional programming paradigms. It's commonly used in web development, data science, machine learning, automation, scripting, and more.

Here are 20 important Python interview questions that cover a range of topics:

1. What is Python?

  • Answer: Python is an interpreted, high-level, general-purpose programming language known for its simplicity and readability. It emphasizes code readability with its use of significant indentation.

2. What are Python’s key features?

  • Answer:
    • Simple and easy to learn.
    • High-level language.
    • Interpreted and dynamically typed.
    • Extensive standard libraries.
    • Supports multiple programming paradigms (object-oriented, procedural, functional).

3. What is PEP 8 and why is it important?

  • Answer: PEP 8 is Python’s style guide for writing code. It promotes code readability and best practices, ensuring consistency across Python projects.

4. What are Python’s data types?

  • Answer: Python’s built-in data types include:
    • Numeric types: int, float, complex
    • Sequence types: list, tuple, range
    • Text type: str
    • Mapping type: dict
    • Set types: set, frozenset
    • Boolean type: bool
    • Binary types: bytes, bytearray, memoryview

5. What is the difference between a list and a tuple?

  • Answer:
    • List: Mutable (can be changed), defined using square brackets [].
    • Tuple: Immutable (cannot be changed), defined using parentheses ().

6. What are functions in Python? How do you define a function?

  • Answer: Functions are blocks of reusable code that perform a specific task. They are defined using the def keyword:
    python Code
    def function_name(parameters): # function body return result

7. What is the difference between Python 2 and Python 3?

  • Answer: Python 3 introduced several improvements over Python 2, including:
    • Print function as print()
    • Integer division returning float (/)
    • Unicode by default for strings
    • Improved syntax and library support

8. **Explain the concept of *args and kwargs.

  • Answer:
    • *args: Allows passing a variable number of non-keyword arguments.
    • **kwargs: Allows passing a variable number of keyword arguments.

9. What is list comprehension in Python?

  • Answer: List comprehension is a concise way to create lists in Python. It allows for filtering and transforming elements in a single line:
    python Code
    squares = [x**2 for x in range(10)]

10. What is a lambda function in Python?

  • Answer: A lambda function is an anonymous function defined using the lambda keyword. It can have any number of arguments but only one expression:
    python Code
    add = lambda x, y: x + y

11. How does Python handle memory management?

  • Answer: Python uses an automatic garbage collection mechanism to manage memory. It includes:
    • Reference counting.
    • A cycle-detecting garbage collector for collecting cyclic references.

12. What are decorators in Python?

  • Answer: Decorators are functions that modify the behavior of other functions or methods. They are typically used to add functionality to an existing function in a clean and readable way.

13. What is the difference between deep copy and shallow copy?

  • Answer:
    • Shallow copy: Creates a new object but inserts references to the original objects.
    • Deep copy: Creates a new object and recursively copies all objects within it.

14. What is a Python module and package?

  • Answer:
    • Module: A file containing Python code (functions, classes, variables) that can be imported.
    • Package: A directory containing multiple modules, typically with an __init__.py file.

15. What is the Global Interpreter Lock (GIL) in Python?

  • Answer: The GIL is a mutex that protects access to Python objects, preventing multiple native threads from executing Python bytecodes simultaneously in a multi-threaded environment.

16. How can you handle exceptions in Python?

  • Answer: Python handles exceptions using the try-except block:
    python Code
    try: # code that may raise an exception except Exception as e: # code to handle the exception

17. What is the difference between is and == in Python?

  • Answer:
    • is: Checks for object identity (whether two references point to the same object in memory).
    • ==: Checks for value equality (whether the values of two objects are the same).

18. What are generators in Python?

  • Answer: Generators are functions that return an iterable set of items, one at a time, using the yield keyword. They are more memory efficient than returning a full list.

19. Explain the difference between a class and an object in Python.

  • Answer:
    • Class: A blueprint for creating objects. It defines properties and behaviors.
    • Object: An instance of a class.

20. What is a docstring in Python?

  • Answer: A docstring is a string literal used to document a module, function, class, or method. It’s the first statement in the definition, and it's accessible through the __doc__ attribute.

These questions are often asked in Python interviews to gauge your knowledge of the language and its core concept.

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