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sure! copying objects in python can sometimes be a bit tricky, especially when dealing with mutable objects like lists or dictionaries. in this tutorial, i'll explain different ways to copy objects in python and provide code examples for each method.
before diving into the methods, it's important to understand the concept of shallow copy and deep copy.
shallow copy: a shallow copy creates a new object but inserts references to the objects found in the original. if the original object contains mutable elements, the changes made to those elements will be reflected in both the original and the copied object.
deep copy: a deep copy creates a new object and recursively copies all objects found in the original. this means that changes made to the elements in the copied object will not affect the original object, and vice versa.
python provides the copy module, which contains functions for creating shallow and deep copies of objects.
for simple objects like lists, you can also use slice notation to create a shallow copy.
for dictionaries, you can use the copy() method provided by the dictionary object to create a shallow copy.
copying objects in python is essential when you want to work with the same data without modifying the original. depending on your requirements, you can choose between shallow and deep copying methods provided by the copy module or use slice notation for simple objects like lists.
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