Python has an in-built package called JSON. So in this article we will discuss on Python JSON in details. The following is the content of this JSON :

• Convert JSON to Python
• Covert Python to JSON
• List of Objects Can be Converted to JSON
• Python & JSON object equivalent
• Format Result
• Use of sort_keys parameter

Convert JSON to Python

In order to parse JSON to Python, we use json.loads() method. The following is a code to parse

import json
a= '{ "name": "Sneha", "class":10, "section":"B"}' #json
b=json.loads(a) #parse a
print(b["class"]) #returns 10

Covert Python to JSON

json.dumps() method is used to convert Python to JSON. To know more you can refer to this site.

import json
a= {
   "name": "Sneha",
   "class":10,
   "section":"B"
} #a Python object
b= json.dumps(a)#convert into JSON
print(b) # result is a JSON string

List of Objects Can be Converted to JSON

• list
• dict
• tuple
• string
• int
• float
• True
• False
• None

import json
print(json.dumps({"name": "Itika", "course":"Btech"}))
print(json.dumps(["mango","banana"]))
print(json.dumps(("rose", "lotus")))
print(json.dumps("Python Tutorial"))
print(json.dumps(2020))
print(json.dumps(3.14))
print(json.dumps(True))
print(json.dumps(False))
print(json.dumps(None))

Python & JSON object equivalent

Format Result

The json.dumps() method makes the result be readable.

json.dumps(a, indent=4)

Also, the separators, default values like semicolon, commas can be used to separate keys from the values.

json.dumps(a, indent=4, separators=(". "," = "))

Use of sort_keys parameter

In json.dumps() method there is a parameter sort_keys to specify if the result is specified or not.

json.dumps(a, indent=4, sort_keys=True)