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https://realpython.com/copying-JUMP_LINK__&&__python__&&__JUMP_LINK-objects/
https://www.geeksforgeeks.org/copy-python-deep-copy-shallow-copy/
https://stackoverflow.com/questions/17246693/what-is-the-difference-between-shallow-copy-deepcopy-and-normal-assignment-oper
https://pythonsimplified.com/the-ultimate-guide-to-shallow-copy-and-deep-copy-in-python/
I suggest realpython or pythonsimplified
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Abiye Gebresilassie Enzo Emmanuel
Don't Post ChatGPT answer.
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Lisa Thanks
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This is my research I am invested 😭
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In Python, understanding the differences between deep copy, shallow copy, and the `copy` module is crucial for managing data structures effectively. Let's break down each:
1. Shallow Copy:
- Shallow copy creates a new object and inserts references to the original objects into it. It doesn't create copies of nested objects; instead, it copies only the references to them.
- Modifying the nested objects in the shallow copy will reflect those changes in both the shallow copy and the original.
- Shallow copy can be useful when you need a new object but don't want to duplicate the inner objects.
- You can perform shallow copy using the `copy()` method or the `copy.copy()` function from the `copy` module.
2. Deep Copy:
- Deep copy, on the other hand, creates a new object and recursively inserts copies of the objects found in the original.
- It ensures that changes made to the original won't affect the copy and vice versa, as they are entirely separate objects.
- Deep copy is essential when you want to modify the copied object without altering the original.
- You can perform a deep copy using the `copy.deepcopy()` function from the `copy` module.
3. Copy Module:
- The `copy` module provides a generic way to copy objects in Python.
- The `copy()` method in Python is equivalent to shallow copy. It creates a shallow copy of the object.
- The `copy.copy()` function from the `copy` module also performs shallow copy.
- The `copy.deepcopy()` function, as mentioned earlier, is used for deep copy.
Scenarios for Each Type of Copy:
- Use shallow copy when you have a simple data structure (like lists or dictionaries) and don't want to duplicate the contained objects. It's faster and more memory-efficient.
- Use deep copy when you have nested data structures or objects and need to modify them independently.
- The generic `copy` module functions are handy when you're dealing with more complex objects and need to explicitly specify the type of copy you want.
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Abiye Gebresilassie Enzo Emmanuel ,
Dude. It's so obviously in the same format, grammar, and voice that AI uses, and not in the same style as the unpunctuated, run-on, emoji-fied sentence in your real voice, "This is my research I am invested 😭".
If you had written it, then you would be able to explain exactly what you meant by "The 'copy()' method in Python" as opposed to copy.copy().