Python has a built-in package called json, which can be used to work with JSON data to store and exchange data.

The following imports the json module for use.

import json

If you have a JSON string, you can parse it by using the json.loads() method. The result will be a Python dictionary.

import json

x = '{ "name":"Johnny", "age":12, "city":"Marina del Rey"}'
y = json.loads(x)

print(y["city"])

Output:

Marina del Rey

If you have a Python object, you can convert it into a JSON string by using the json.dumps() method.

Python objects of the following types can be converted into JSON strings.

• Python dict ——> JSON object
• Python list ——> JSON array
• Python tuple ——> JSON array
• Python string ——> JSON string
• Python int ——> JSON number
• Python float ——> JSON number
• Python True ——> JSON true
• Python False ——> JSON false
• Python None ——> JSON none

import json

print(json.dumps("Hello World"))

Output:

"Hello World"

The json.dumps() method has parameters to make it easier to read the result when there is a lot of information.

The indent parameter defines the numbers of indents.

import json

x = {
    "name": "Johnny",
    "age": 12,
    "cars": [
        {"model": "Maserati", "year": 2020},
        {"model": "Alfa Romeo", "year": 2025}
    ]
}

print(json.dumps(x, indent=2))

Output:

{
  "name": "Johnny",
  "age": 12,
  "cars": [
    {
      "model": "Maserati",
      "year": 2020
    },
    {
      "model": "Alfa Romeo",
      "year": 2025
    }
  ]
}

The sort_keys parameter is used to specify if the result should be sorted or not.

import json

x = {
    "name": "Johnny",
    "age": 12,
    "cars": [
        {"model": "Maserati", "year": 2020},
        {"model": "Alfa Romeo", "year": 2025}
    ]
}

print(json.dumps(x, indent=2, sort_keys=True))

Output:

{
  "age": 12,
  "cars": [
    {
      "model": "Maserati",
      "year": 2020
    },
    {
      "model": "Alfa Romeo",
      "year": 2025
    }
  ],
  "name": "Johnny"
}

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