This video explains how Python handles object duplication through the copy module, specifically contrasting shallow copies and deep copies. While standard assignments merely link to an existing object, a shallow copy builds a new container that still points to the original nested elements, causing changes to propagate between them. In contrast, a deep copy utilizes a recursive process to duplicate every level of data, ensuring the new object is entirely independent from the source. By using functions like copy.copy() and copy.deepcopy(), developers can control whether nested data remains shared or becomes distinct. Ultimately, these techniques allow for precise management of memory references and data integrity when manipulating complex structures.