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Python Programming Language

 
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Question- Top 100 Questions and Answers Asked in Python Interview



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Python is one of the most popular programming languages today, widely used in web development, data science, artificial intelligence, and many other fields. As a result, Python interviews are common for many technical job roles. To help you prepare, we have compiled the top 100 questions and answers typically asked in Python interviews. These questions cover a wide range of topics, ensuring a comprehensive understanding of Python.

1. What is Python?

Python is an interpreted, high-level, and general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

2. What are the key features of Python?

  • Readable and Maintainable Code: Python’s syntax is clean and easy to understand.
  • Comprehensive Standard Library: Python has a vast library of modules and functions.
  • Open Source: Python is open-source and freely available for use.
  • Object-Oriented: Supports object-oriented programming concepts.
  • Extensible: Python can be extended with modules written in C or C++.

3. What is PEP 8?

PEP 8 is the Python Enhancement Proposal that provides guidelines and best practices on how to write Python code. It helps ensure the readability and consistency of Python code.

4. How is memory managed in Python?

Python uses an automatic garbage collector to manage memory. It relies on reference counting and a cyclic garbage collector to reclaim unused memory.

5. Explain the difference between lists and tuples in Python.

  • Lists: Mutable, meaning their elements can be changed. Defined with square brackets.
  • Tuples: Immutable, meaning their elements cannot be changed. Defined with parentheses.

6. What are Python decorators?

Decorators are a way to modify the behavior of a function or class. They are often used to add functionality to existing code in a clean and readable way.

7. What is a lambda function in Python?

A lambda function is a small anonymous function defined with the lambda keyword. It can have any number of arguments but only one expression.

8. Explain the difference between deepcopy and shallow copy.

  • Shallow Copy: Creates a new object but inserts references into it to the objects found in the original.
  • Deep Copy: Creates a new object and recursively adds copies of objects found in the original.

9. What is the Global Interpreter Lock (GIL)?

The GIL is a mutex that protects access to Python objects, preventing multiple threads from executing Python bytecode simultaneously. It simplifies memory management but can be a bottleneck in CPU-bound and multi-threaded code.

10. What are Python namespaces?

Namespaces are a way to ensure that names are unique and won’t lead to naming conflicts. They are implemented in Python as dictionaries that map names to objects.

11. What is list comprehension?

List comprehension provides a concise way to create lists. It consists of brackets containing an expression followed by a for clause, and then zero or more for or if clauses.

12. What are Python modules and packages?

  • Modules: Files containing Python code. This code can define functions, classes, and variables.
  • Packages: A way of structuring Python’s module namespace by using "dotted module names".

13. How do you handle exceptions in Python?

Exceptions in Python are handled using the try, except, else, and finally blocks. This allows you to catch and handle errors gracefully without crashing the program.

14. What is the difference between __init__ and __call__ methods in Python?

  • __init__: A special method called when an instance of the class is created.
  • __call__: A special method that allows an instance of a class to be called as a function.

15. How does Python handle type conversion?

Python provides built-in functions such as int(), float(), str(), etc., to convert one type to another. Implicit type conversion is handled automatically by Python.

16. What are Python iterators and iterables?

  • Iterables: Objects that can be looped over (e.g., lists, tuples).
  • Iterators: Objects that represent a stream of data; they implement the __iter__ and __next__ methods.

17. Explain the with statement in Python.

The with statement simplifies exception handling by encapsulating common preparation and cleanup tasks. It ensures that resources are properly released when their block of code is exited.

18. What is a generator in Python?

A generator is a function that returns an iterator that produces a sequence of values using the yield statement. Generators allow for efficient iteration over large data sets without loading them into memory all at once.

19. What are Python's built-in data types?

Python has several built-in data types, including:

  • 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

20. Explain the difference between == and is operators.

  • ==: Compares the values of two objects for equality.
  • is: Compares the memory locations of two objects (i.e., identity).

21. How can you achieve multithreading in Python?

Python’s threading module allows you to create and manage threads. However, due to the GIL, multithreading may not achieve true parallelism in CPU-bound tasks but can be useful for I/O-bound tasks.

22. What is a Python class and object?

  • Class: A blueprint for creating objects, providing initial values for state (member variables) and implementations of behavior (member functions or methods).
  • Object: An instance of a class.

23. How do you create a virtual environment in Python?

A virtual environment can be created using the venv module:

python
python -m venv myenv

24. Explain the concept of inheritance in Python.

Inheritance allows a class to inherit attributes and methods from another class, promoting code reuse. Python supports multiple inheritance.

25. What are Python’s built-in functions?

Python has many built-in functions, including:

  • len(): Returns the length of an object.
  • max(): Returns the largest item.
  • min(): Returns the smallest item.
  • sum(): Sums items of an iterable.
  • abs(): Returns the absolute value.
  • round(): Rounds a number to a given precision.

26. How do you manage packages in Python?

Python packages are managed using the pip tool, which allows you to install, update, and remove packages.

27. Explain the difference between locals() and globals() functions.

  • locals(): Returns a dictionary representing the current local symbol table.
  • globals(): Returns a dictionary representing the current global symbol table.

28. What is the purpose of the self keyword in Python?

self is used to represent the instance of the class. It binds the attributes with the given arguments.

29. How do you perform file handling in Python?

Python provides built-in functions such as open(), read(), write(), and close() to handle file operations.

30. What are Python comprehensions?

Comprehensions provide a concise way to create lists, dictionaries, and sets. They can replace the need for map(), filter(), and lambda functions.

Conclusion

Preparing for a Python interview requires a solid understanding of the language's features, syntax, and concepts. This comprehensive list of questions and answers covers a wide range of topics that are commonly discussed in Python interviews. Mastering these will significantly boost your confidence and performance in any Python-related interview.