Python JSON

Python JSON (JavaScript Object Notation) is a data format for storing and transferring data, supported via the built-in json module for parsing, serializing and deserializing.

This below diagram shows JSON flows from server to client as a string via json.dumps(), then parsed back to a dictionary with json.loads() for data access.

Let's see some examples where we convert the JSON objects to Python objects and vice versa.

Convert from JSON to Python object

Let's see an example where we convert the JSON objects to Python objects. Here, json.loads() method can be used to parse a valid JSON string and convert it into a Python Dictionary.

Python

import json

emp = '{"id":"09", "name": "Nitin", "department":"Finance"}'
print("This is JSON", type(emp))

print("Now convert from JSON to Python")
d = json.loads(emp)
print("Converted to Python", type(d))
print(d)

Output

This is JSON <class 'str'>
Now convert from JSON to Python
Converted to Python <class 'dict'>
{'id': '09', 'name': 'Nitin', 'department': 'Finance'}

Convert from Python object to JSON

Let's see an example where we convert Python objects to JSON objects. Here json.dumps() function will convert a subset of Python objects into a JSON string.

Python

import json

d = {'id': '09', 'name': 'Nitin', 'department': 'Finance'}
print("This is Python", type(d))

print("Now Convert from Python to JSON")
obj = json.dumps(d, indent=4)
print("Converted to JSON", type(obj))
print(obj)

Output

This is Python <class 'dict'>
Now Convert from Python to JSON
Converted to JSON <class 'str'>
{
    "id": "09",
    "name": "Nitin",
    "department": "Finance"
}

Introduction

In this section, we will cover the basics of JSON, its data types, and how to work with, read, write, and parse JSON data in Python.

Reading and Writing JSON

You can read, write, and append JSON data to files in Python using the json module. It makes handling JSON data in files simple and efficient.

Parsing JSON

You can parse JSON data in Python to access or manipulate it, convert dictionaries to JSON strings, and transform JSON strings back into Python objects. This allows easy data exchange and customization.

Serializing and Deserializing JSON

Serializing converts Python objects to JSON, and deserializing converts JSON back to Python objects using json.dump(), json.dumps(), json.load(), and json.loads().

Conversion between JSON

Convert and transform data between JSON, XML, CSV, and text formats in Python, enabling easy storage, sharing, and interoperability across different applications.

More operations JSON

Perform additional JSON operations in Python, including formatting, pretty-printing, flattening nested objects, validating JSON strings, and sorting JSON data by values.