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title: a comprehensive guide to python class copying with code examples
introduction:
in python, working with classes is a fundamental aspect of object-oriented programming (oop). often, there arises a need to duplicate or copy a class instance for various reasons, such as maintaining state or creating backups. this tutorial aims to provide a thorough understanding of how to copy python classes, exploring both shallow and deep copy techniques, along with practical code examples.
shallow copy:
a shallow copy creates a new object, but does not create copies of the objects contained within the original. the copy module in python provides the copy() method for creating shallow copies. let's consider an example:
in the above example, modifying the data in the original instance affects the shallow copied instance as well.
deep copy:
a deep copy creates a new object and recursively copies all objects contained within the original instance. the copy module provides the deepcopy() method for achieving this. consider the following example:
in this example, modifying the data in the original instance does not affect the deep copied instance, showcasing the independence of the two objects.
conclusion:
understanding how to copy python classes is crucial for effective object-oriented programming. this tutorial covered both shallow and deep copy techniques using the copy module. depending on the requirements of your application, choose the appropriate copy method to ensure the desired behavior while working with class instances in python.
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