Working with json in Python programming language

JSON, which stands for JavaScript Object Notation, is a widely used data format that is easily readable by both humans and machines. With Python's built-in support for JSON, you can easily manipulate and work with JSON data in your scripts and programs. This tutorial will provide you with a comprehensive overview of working with JSON in Python, covering everything from importing and exporting JSON data to parsing JSON objects and accessing their individual elements.

Encoding JSON Data in Python :

• Python has a built-in module called  json  for working with JSON data.
• To encode Python objects to JSON, use the  json.dumps()  method.
• Code Sample : 

import json

person = {
   "name": "John",
   "age": 30,
   "isStudent": True,
   "subjects": ["English", "Maths", "Science"],
   "address": {
       "street": "123 Main St",
       "city": "New York",
       "state": "NY",
       "zip": "10001"
   }
}

json_data = json.dumps(person)
print(json_data)

Decoding JSON Data in Python :

• To decode JSON data to Python objects, use the  json.loads()  method.
• Code Sample : 

import json

json_data = '{"name": "John", "age": 30, "isStudent": true, "subjects": ["English", "Maths", "Science"], "address": {"street": "123 Main St", "city": "New York", "state": "NY", "zip": "10001"}}'

person = json.loads(json_data)
print(person)

Reading JSON Data from a File :

• To read JSON data from a file, use the   json.load()  method.
• Code Sample : 

import json

with open('person.json', 'r') as f:
   person = json.load(f)
   
print(person)

Writing JSON Data to a File :

• To write JSON data to a file, use the   json.dumps()  method.
• Code Sample : 

import json

person = {
   "name": "John",
   "age": 30,
   "isStudent": True,
   "subjects": ["English", "Maths", "Science"],
   "address": {
       "street": "123 Main St",
       "city": "New York",
       "state": "NY",
       "zip": "10001"
   }
}

with open('person.json', 'w') as f:
   json.dump(person, f)
   
   
   

Handling Errors in JSON :

• When working with JSON data, errors can occur when encoding or decoding data.
• The  json  module provides two exceptions:   JSONDecodeError  and  JSONEncodeError . 
• These exceptions can be caught and handled to notify users of any issues.
• Code Sample : 

import json

json_data = 'invalid json data'

try:
   person = json.loads(json_data)
except json.JSONDecodeError as e:
   print(f"Error decoding JSON data: {e}")