json.loads(): parses a JSON-formatted string and returns it as a Python dictionary, list, or others

import json
my_str='true'
print(json.loads(my_str)) # True
print(type(json.loads(my_str))) # <class 'bool'>

import json
my_str='null'
print(json.loads(my_str)) # None
print(type(json.loads(my_str))) # <class 'NoneType'>

import json
my_str='["First","Second","Third"]'
print(json.loads(my_str)) # ['First', 'Second', 'Third']
print(type(json.loads(my_str))) # <class 'list'>

import json
my_str='{"id":"2","name":"Max Ruin","class1":"Three5","mark":"85"}'
print(json.loads(my_str)) # {'id': '2', 'name': 'Max Ruin', 'class1': 'Three5', 'mark': '85'}
print(type(json.loads(my_str))) # <class 'dict'>

Example 1: Decoding Nested JSON Data

import json
nested_json = '{"name": "John", "details": {"age": 30, "city": "New York"}}'
output = json.loads(nested_json)
print(output)  # Output: {'name': 'John', 'details': {'age': 30, 'city': 'New York'}}

{'name': 'John', 'details': {'age': 30, 'city': 'New York'}}

Example 2: Decoding JSON Array

import json
json_array = '[10, 20, 30, 40]'
output = json.loads(json_array)
print(output)  # Output: [10, 20, 30, 40]

[10, 20, 30, 40]

Example 3: Handling Malformed JSON Data

import json
malformed_json = '{"name": "John", "age": 30,'  # Missing closing bracket
try:
    output = json.loads(malformed_json)
except json.JSONDecodeError as e:
    print(f"Error: {e}")  # Output: Error message indicating malformed JSON

Error: Expecting property name enclosed in double quotes

Example 4: Decoding JSON with Boolean Values

import json
json_data = '{"is_active": true, "is_verified": false}'
output = json.loads(json_data)
print(output)

{'is_active': True, 'is_verified': False}

Subhendu Mohapatra

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