The class that uses Dict in Python

from addict import DictThis line of code imports the Dict class, which comes from the addict module. In this context, addict is a Python library that provides a class called Dict for creating dictionary objects accessible through properties.

Use the Dict class in addict to create dictionary objects conveniently, and access dictionary key-value pairs like accessing object properties, which may in some cases be clearer and more convenient than traditional dictionary access methods.

Traditional dictionary for access:

	# Create a nested dictionarynested_dict = {
    'person': {
        'name': 'Alice',
        'age': 30,
        'address': {
            'city': 'New York',
            'zip': '10001'
        }
    }
}

# Access the dictionary key-value pairs and use the traditional dictionary access methodprint(nested_dict['person']['name'])  # Output: Aliceprint(nested_dict['person']['age'])   # Output: 30print(nested_dict['person']['address']['city'])  # Output: New Yorkprint(nested_dict['person']['address']['zip'])   # Output: 10001
# Add a new key-value pairnested_dict['person']['job'] = 'Engineer'

# Output updated dictionaryprint(nested_dict['person']['job'])  # Output: Engineer

Use the Dict class for access:

	from addict import Dict
	
	# Create a nested dictionary	nested_dict = {
	    'person': {
	        'name': 'Alice',
	        'age': 30,
	        'address': {
	            'city': 'New York',
	            'zip': '10001'
	        }
	    }
	}
	
	# Create a dictionary object accessible through attributes using the Dict class	addict_dict = Dict(nested_dict)
	
	# Access the dictionary's key-value pairs just like accessing object properties	print(addict_dict.)  # Output: Alice	print(addict_dict.)   # Output: 30	print(addict_dict.)  # Output: New York	print(addict_dict.)   # Output: 10001	
	# Add a new key-value pair	addict_dict. = 'Engineer'
	
	# Output updated dictionary	print(addict_dict.)  # Output: Engineer

Summarize

When using the Dict class in the addict library, you can access the key-value pairs of the dictionary just like you can access the object properties. This is especially convenient when accessing deeply nested dictionaries.
It is just that when writing code, it is easier to access the traditional dictionary, and there is no difference between the others.

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