python deep copy of dict
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In Python, a deep copy of a dictionary is a technique used to create a completely independent copy of the original dictionary. This means that changes made to the copied dictionary will not affect the original, and vice versa. This tutorial will guide you through the process of creating a deep copy of a dictionary using the copy module and the copy.deepcopy() function.
A dictionary in Python is a collection of key-value pairs. When you need to create a copy of a dictionary, it's crucial to understand the difference between a shallow copy and a deep copy.
Shallow Copy: It creates a new dictionary object, but the inner objects (e.g., lists or other dictionaries) are still references to the same objects as in the original dictionary. Shallow copy can be achieved using the copy method or the dict() constructor.
Deep Copy: It creates a new dictionary along with new objects for all nested dictionaries and lists. Deep copy ensures that changes made to the copied dictionary do not affect the original. The deepcopy() function from the copy module is used for deep copying.
The copy module in Python provides the copy() method for creating a shallow copy of a dictionary.
To create a deep copy of a dictionary, you can use the deepcopy() function from the copy module.
Here are additional examples demonstrating the use of shallow and deep copy: