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The differences between a shallow copy and a deep copy in Python lie in how they copy and handle objects:

Shallow Copy: A shallow copy creates a new object but keeps references to the objects in the original container. In other words, it creates a new container object, but the elements inside the container are still references to the original objects. Changing the original object will be reflected in the shallow copy, as they both refer to the same objects. Python's built-in copy() method and the slicing operator [:] are examples of creating a shallow copy.

Deep Copy: A deep copy creates a new object and recursively copies all of the objects found in the original object. Essentially, it creates a completely independent copy of the original object and its nested objects. Any changes made to the original object will not affect the deep copy, as they are two separate objects. The deep copy() method from the copy module is used to perform a deep copy in Python.
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To summarize:

Shallow copy creates a new object but retains references to the original objects.
Deep copy creates a new object and recursively copies all objects found in the original object.
When copying objects, it is important to consider whether a shallow or deep copy is appropriate based on the requirements and desired behavior.

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Any changes made to the original object will not affect the deep copy, as they are two separate objects. The deep copy() method from the copy module https://techlarapoint.com/cabe-rawit-versi-lama/
is used to perform a deep copy in Python.