Difference between deep copy and shallow copy in Python








  • Difference between shallow copy and deep copy

    Deep copy creates a new object and then recursively populates it with copies of all objects including the child objects (nested objects) found in the original. So, deep copy creates a clone at a different memory location, so the original and the clone are two separate, independent objects and any changes made to one have no effect on the other.



  • Differences between deep copy and shallow copy

    Shallow copy creates a new object and then populates it with references to the child objects (nested objects) found in the original. So, child objects in the original are not copied, just their references are copied. So, any changes to the child objects in the original will reflect in the copy and any changes to the child objects in the copy will reflect in the original. Therefore, the copy is not fully independent of the original




  • Differences between shallow copy and deep copy

    If the original do not have any nested objects, shallow copy is the same as deep copy. For e.g., If a list has all immutable objects (int, float, str etc) then deep copy and shallow copy are same.



  • What is the difference between deep copy and shallow copy

    Deep Copy is necessary when the original objects should not be modified. Deep copy is especially important in multithreading and multi-core programming, where separate parts of a program could attempt to modify the data at the same time, possibly corrupting it. So, having two independent copies is necessary in such situations.



  • shallow copy Vs deep copy

    We use deepcopy ( ) method of copy module to create a deep copy of an object:
    import copy
    new_list = copy.deepcopy(original_list)


  • Deep copy Vs shallow copy

    Shallow copy can be created in the following six ways:
    import copy
    new_list = copy.copy(original_list)

    new_list = original_list[:]

    new_list = original_list + [ ]

    new_list = list(original_list)

    new_list = original_list * 1

    new_list = [i for i in original_list]



  • Difference between deep copy and shallow copy in Python

    In Python, the assignment operator (=) operator does not create a new object; It only creates a new variable that shares the reference of the original object. The following assignment statement will not create a shallow copy of the original_list
    new_list = original_list
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