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Python

100 Python interview questions

Only coding challenges
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Python Fundamentals


  • 1.

    What are the key features of Python?

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  • 2.

    How is Python executed?

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  • 3.

    What is PEP 8 and why is it important?

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  • 4.

    How is memory allocation and garbage collection handled in Python?

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  • 5.

    What are the built-in data types in Python?

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  • 6.

    Explain the difference between a mutable and immutable object.

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  • 7.

    How do you handle exceptions in Python?

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  • 8.

    What is the difference between list and tuple?

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  • 9.

    How do you create a dictionary in Python?

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  • 10.

    What is the difference between == and is operator in Python?

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Python Functions and Modules


  • 11.

    How does a Python function work?

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  • 12.

    What is a lambda function, and where would you use it?

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  • 13.

    Explain *args and **kwargs in Python.

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  • 14.

    What are decorators in Python?

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  • 15.

    How can you create a module in Python?

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  • 16.

    How do you share global variables across modules?

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  • 17.

    What is the use of if __name__ == '__main__':?

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  • 18.

    What are Python namespaces?

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  • 19.

    How does a Python module search path work?

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  • 20.

    What is a Python package?

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Python Advanced Concepts


  • 21.

    What is list comprehension? Give an example.

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  • 22.

    Explain dictionary comprehension.

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  • 23.

    What are generators in Python, and how do you use them?

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  • 24.

    How do you implement concurrency in Python?

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  • 25.

    What are coroutines and how do they differ from threads?

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  • 26.

    What is the Global Interpreter Lock (GIL)?

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  • 27.

    How would you optimize the performance of a Python application?

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  • 28.

    What is a context manager and the with statement in Python?

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  • 29.

    What strategies can be employed to optimize memory usage in Python applications?

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  • 30.

    What is monkey patching in Python?

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Python Object-oriented Programming


  • 31.

    What are classes in Python?

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  • 32.

    How does Python support object-oriented programming?

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  • 33.

    What is inheritance and give an example in Python?

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  • 34.

    How do you achieve encapsulation in Python?

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  • 35.

    What are class methods, static methods, and instance methods?

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  • 36.

    What is polymorphism in Python?

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  • 37.

    Explain the use of the super() function.

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  • 38.

    What is method resolution order (MRO) in Python?

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  • 39.

    What are magic methods in Python?

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  • 40.

    How do you prevent a class from being inherited?

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Python Debugging and Testing


  • 41.

    How do you debug a Python program?

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  • 42.

    What are some popular debugging tools for Python?

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  • 43.

    What is unit testing in Python?

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  • 44.

    How do you write a basic test case in Python using unittest?

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  • 45.

    What is pytest and how is it used?

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  • 46.

    How do you test a Python function with side effects?

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  • 47.

    What is a breakpoint and how do you use it?

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  • 48.

    How do you log messages in Python?

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  • 49.

    How do you use assertions in Python?

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  • 50.

    What is a traceback, and how do you analyze it?

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File Handling and Data Processing


  • 51.

    How do you open and close a file in Python?

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  • 52.

    What are the different modes for opening a file?

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  • 53.

    How do you read and write data to a file in Python?

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  • 54.

    What is a CSV file and how do you read it in Python?

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  • 55.

    What are JSON files and how does Python process them?

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  • 56.

    How do you handle binary files in Python?

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  • 57.

    What is the pandas library, and how is it used?

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  • 58.

    How do you process data in chunks with pandas?

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  • 59.

    What are the advantages of using NumPy arrays over nested Python lists?

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  • 60.

    How do you use the os and sys modules for interacting with the operating system?

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Python Libraries and Frameworks


  • 61.

    What are the key features of the Flask framework?

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  • 62.

    How do you build a REST API in Flask?

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  • 63.

    What is Django and what is it used for?

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  • 64.

    How do you create a new Django project?

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  • 65.

    What is an ORM, and how does Django use it?

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  • 66.

    What is the purpose of the requests module?

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  • 67.

    How do you visualize data in Python?

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  • 68.

    What are some libraries you can use for machine learning in Python?

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  • 69.

    How do you schedule tasks in Python?

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  • 70.

    What is asyncio and how do you use it?

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Networking and Databases in Python


  • 71.

    How do you implement socket programming in Python?

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  • 72.

    What are the steps to make a simple HTTP request in Python?

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  • 73.

    How do you connect to a SQL database in Python?

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  • 74.

    How do you execute a query in a database using Python?

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  • 75.

    What is a NoSQL database and how would you interact with it in Python?

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Python Scripting and Automation


  • 76.

    How would you automate a repetitive task in Python?

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  • 77.

    How can Python scripts be used for system administration?

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  • 78.

    What techniques can you use for parsing text files?

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  • 79.

    How do you manipulate CSV files using Python?

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  • 80.

    How do you automate web browsing using Python?

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Python Regular Expressions


  • 81.

    What are regular expressions and how are they used?

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  • 82.

    How do you compile a regular expression in Python?

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  • 83.

    Give examples of commonly used regex patterns in Python.

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  • 84.

    How do you replace text in a string using regular expressions?

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  • 85.

    When should you use regular expressions and when should you avoid them?

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Python Environment and Configuration


  • 86.

    How do you manage Python environments using venv?

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  • 87.

    What is a virtual environment and when should you use one?

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  • 88.

    How do you install Python packages?

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  • 89.

    How do you manage dependencies in Python projects?

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  • 90.

    What is Docker and how do you use it with Python?

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Python and Data Science


  • 91.

    What is data science and how is Python used in it?

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  • 92.

    How do you clean and preprocess data in Python?

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  • 93.

    What is a DataFrame in pandas?

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  • 94.

    How do you handle missing data with pandas?

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  • 95.

    How can you perform data aggregation in pandas?

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Python and Machine Learning


  • 96.

    What is scikit-learn and how do you use it?

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  • 97.

    How do you handle feature selection in Python?

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  • 98.

    What is cross-validation and how do you perform it in Python?

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  • 99.

    How do you save a trained machine learning model with Python?

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  • 100.

    What are the steps involved in training a machine learning model with Python?

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