[981] JSON module in Python

In Python, the json module provides functions for encoding and decoding JSON data. Here's a brief explanation of the commonly used functions:

1. json.dump() and json.load() are functions for file processing.
2. json.dumps() and json.loads() are functions for variable processing.
3. dump(s): dict -> string
4. load(s): string -> dict

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1. json.dumps(): This function is used to serialize Python objects to a JSON formatted string. It takes a Python object (such as a dictionary or a list) as input and returns a JSON formatted string.

   Example:

   import json
    
   data = {'name': 'John', 'age': 30, 'city': 'New York'}
   json_string = json.dumps(data)
   print(json_string)

2. json.dump(): This function is similar to json.dumps(), but it writes the JSON data directly to a file-like object (such as a file object opened in write mode). It serializes the Python object to JSON and writes it to the specified file.

   Example:

   import json
    
   data = {'name': 'John', 'age': 30, 'city': 'New York'}
   with open('data.json', 'w') as json_file:
       json.dump(data, json_file)

3. json.loads(): This function is used to deserialize a JSON formatted string into a Python object. It takes a JSON formatted string as input and returns a Python object (such as a dictionary or a list).

   Example:

   import json
    
   json_string = '{"name": "John", "age": 30, "city": "New York"}'
   data = json.loads(json_string)
   print(data)

4. json.load(): This function is similar to json.loads(), but it reads JSON data from a file-like object (such as a file object opened in read mode) and deserializes it into a Python object.

   Example:

   import json
    
   with open('data.json', 'r') as json_file:
       data = json.load(json_file)
   print(data)

These functions are commonly used when working with JSON data in Python, allowing you to serialize Python objects to JSON format and vice versa.