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Basic Python Questions:

  1. What are the key features of Python?

    • Explain Python's features like simplicity, readability, extensive libraries, cross-platform support, and dynamic typing.
  2. How does Python handle memory management?

    • Discuss the role of Python's memory manager, garbage collection, and reference counting.
  3. What are Python's built-in data types?

    • Lists, tuples, dictionaries, sets, strings, integers, floats, and booleans.
  4. Explain the difference between lists and tuples.

    • Discuss mutability, syntax, and use cases for lists and tuples.
  5. What is PEP 8 and why is it important?

    • Describe PEP 8 as Python's style guide for writing clean and readable code.

Intermediate Python Questions:

  1. How do you handle exceptions in Python?

    • Explain the use of try, except, else, and finally blocks.
  2. What are list comprehensions and how are they used?

    • Provide examples of list comprehensions for creating lists in a concise manner.
  3. How does Python implement multithreading?

    • Discuss the Global Interpreter Lock (GIL) and its impact on multithreading, along with alternatives like multiprocessing.
  4. What are decorators in Python?

    • Explain decorators and provide examples of how they modify the behavior of functions or methods.
  5. What is the difference between deep copy and shallow copy?

    • Describe the concepts and provide examples using the copy module.

Advanced Python Questions:

  1. Explain the concept of generators and iterators.

    • Discuss how generators are used for memory-efficient iteration and the use of the yield keyword.
  2. What is a context manager in Python?

    • Explain the use of with statements and the implementation of custom context managers using __enter__ and __exit__ methods.
  3. How does Python's garbage collection work?

    • Describe the mechanisms of reference counting and cyclic garbage collector.
  4. What is the difference between @staticmethod and @classmethod?

    • Explain the use cases and differences between these two types of methods in classes.
  5. What are metaclasses in Python?

    • Discuss the concept of metaclasses and how they can be used to control class creation.

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