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Deep copy in Python is used to create a completely independent copy of an object and all its nested data 12. This means that any modifications made to the deep-copied object will not affect the original object 13.
Benefits of deep copy:
- Isolation: It allows working with a copy of the object without changing the original 4.
- Complex data structures: Ideal for handling complex, nested data structures like lists within lists or dictionaries containing other dictionaries 13.
Use case: When you need to ensure that changes to a copy do not impact the original, deep copy is the method to use 3.
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