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What is the difference between mutable and immutable data types?

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As a seasoned Python Training tutor registered on UrbanPro.com, I am delighted to provide you with a comprehensive explanation of the difference between mutable and immutable data types in Python. UrbanPro.com is your go-to platform for finding the best online coaching for Python Training, connecting...
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As a seasoned Python Training tutor registered on UrbanPro.com, I am delighted to provide you with a comprehensive explanation of the difference between mutable and immutable data types in Python. UrbanPro.com is your go-to platform for finding the best online coaching for Python Training, connecting you with experienced tutors and coaching institutes.

Mutable vs. Immutable Data Types in Python

1. Definition:

  • Mutable Data Types:

    • Mutable objects can be modified or changed after their creation.
    • Examples include lists, dictionaries, and sets.

  • Immutable Data Types:

    • Immutable objects cannot be altered once they are created.
    • Examples include strings, tuples, and integers.

2. Memory Allocation:

  • Mutable Data Types:

    • Allocate memory once and can be modified without changing the memory address.

  • Immutable Data Types:

    • Create a new object when modified, resulting in a new memory allocation.

3. Performance:

  • Mutable Data Types:

    • Can be more efficient for operations involving frequent modifications.

  • Immutable Data Types:

    • Generally provide better performance in scenarios where data remains constant.

4. Examples:

  • Mutable Data Types:

    • List Example:
      python

 

    • my_list = [1, 2, 3] my_list[0] = 99 # Modifying the list

  • Immutable Data Types:

    • Tuple Example:
      python

 

    • my_tuple = (1, 2, 3) # Attempting to modify will result in an error

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