Python Interview Question Answers

Here you get a free Python Interview Question which helps you to Give Correct Answer of the Question in the Interview. It also helps you for you college exams Preparation.

Python Basics and Syntax

1. Explain the difference between is and == operators.
2. How does Python’s garbage collection work?
3. What are Python’s truthy and falsy values?
4. What is the __future__ module used for in Python?
5. Describe the difference between mutable and immutable data types in Python.
6. How does Python handle integer overflow?
7. What is the purpose of the pass statement?
8. How does Python implement dynamic typing internally?
9. What are the implications of Python being an interpreted language?
10. What happens if you delete a variable using del?

Data Structures

1. How does Python’s dictionary maintain insertion order?
2. What is the time complexity of basic operations on Python lists?
3. Explain the difference between a tuple and a named tuple.
4. How can you make a Python set immutable?
5. How do you efficiently find the intersection of two dictionaries?
6. Explain how Python’s list slicing works.
7. How does the collections.deque differ from a list?
8. When would you use a defaultdict over a standard dictionary?
9. How does Python handle hash collisions in dictionaries?
10. What are weak references, and how are they used in Python?

Functions and Decorators

1. Explain the difference between a regular function and a lambda function.
2. How do decorators work in Python? Provide an example.
3. Can you use a decorator to cache function results? If so, how?
4. What is the purpose of functools.wraps?
5. How do closures work in Python?
6. How can you pass a function as an argument in Python?
7. What is the purpose of the @staticmethod decorator?
8. Explain how Python’s partial functions work.
9. Can you write a decorator that takes arguments? Provide an example.
10. How would you implement a recursive function without hitting Python’s recursion limit?

Object-Oriented Programming (OOP)

1. How does Python handle method resolution order (MRO)?
2. What is the difference between __new__ and __init__?
3. How can you enforce immutability in a Python class?
4. What is the role of metaclasses in Python?
5. Explain how super() works in Python.
6. Can a Python class inherit from multiple classes? How is ambiguity resolved?
7. What are abstract base classes (ABCs) in Python?
8. How do you implement operator overloading in Python?
9. What is the purpose of __slots__ in Python classes?
10. How does Python handle private variables?

Iterators and Generators

1. How does the yield keyword work in Python?
2. What is the difference between an iterator and an iterable?
3. How do you create a custom iterator class?
4. What are generator expressions, and how are they different from list comprehensions?
5. Explain the working of the itertools module.
6. How would you implement a generator that produces the Fibonacci sequence?
7. How does Python handle infinite iterators?
8. How can you “reset” an iterator in Python?
9. What is the purpose of the send() method in generators?
10. How does contextlib.closing work with iterators?

Modules and Packages

1. How is a module different from a package in Python?
2. What is the __all__ variable used for in Python modules?
3. How can you reload a Python module at runtime?
4. Explain the difference between relative and absolute imports in Python.
5. What are namespace packages, and how are they implemented?
6. How does Python find modules during import?
7. What is the purpose of the importlib module?
8. How can you create and use a Python package with multiple modules?
9. What is the purpose of the __init__.py file in packages?
10. How do you handle circular imports in Python?

File Handling and I/O

1. How does Python handle file buffering?
2. What is the purpose of the with statement in file operations?
3. How can you read a binary file in Python?
4. Explain the difference between read(), readline(), and readlines().
5. How can you write data to a file in chunks in Python?
6. What are the advantages of using memory-mapped files in Python?
7. How do you handle file locking in Python?
8. How does the os module differ from the shutil module for file operations?
9. What are the various modes available for opening a file in Python?
10. How can you handle file encoding issues in Python?

Exception Handling

1. How does Python’s try-except-else construct work?
2. What is the difference between raise and raise from in exceptions?
3. How do you create custom exceptions in Python?
4. What is the purpose of the finally block in exception handling?
5. How does Python handle unhandled exceptions?
6. What is the __cause__ attribute in exception chaining?
7. Can you catch multiple exceptions in a single except block? Provide an example.
8. What happens if an exception occurs in a generator function?
9. How can you log exceptions in Python?
10. How do you suppress exceptions in Python?

Concurrency and Parallelism

1. What is the difference between threading and multiprocessing in Python?
2. How does Python’s Global Interpreter Lock (GIL) affect multithreading?
3. What is the purpose of the asyncio module in Python?
4. How do coroutines work in Python?
5. Explain the difference between concurrent.futures and asyncio.
6. What is the purpose of the queue.Queue class in threading?
7. How does Python’s subprocess module differ from the os.system call?
8. How do you use async and await keywords in Python?
9. How can you implement a thread-safe data structure in Python?
10. What are the use cases for Event, Condition, and Semaphore in threading?

Python Memory Management

1. How does Python’s memory manager work?
2. What is the difference between sys.getsizeof() and len()?
3. What are the key differences between the heap and stack in Python?
4. How does Python handle memory for mutable and immutable objects?
5. What is the role of the gc module in Python?
6. How can you manually trigger garbage collection in Python?
7. What is the purpose of __del__ in Python classes?
8. How does reference counting work in Python?
9. How does Python handle memory leaks?
10. What tools are available for profiling memory usage in Python?

Python Standard Library

1. What is the purpose of the functools module?
2. How does the itertools module enhance efficiency in iteration?
3. Explain the use of the enum.Enum class in Python.
4. How do you use the logging module to configure multiple loggers?
5. What are the features of the re module for regular expressions in Python?
6. How can the collections.Counter class be used for frequency analysis?
7. What is the difference between pickle and json serialization in Python?
8. How do you create a thread pool using concurrent.futures?
9. How does the argparse module help with command-line parsing?
10. What are the differences between the time, datetime, and calendar modules?