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.

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)

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.

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)

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.

• What is JSON?
• Data types in JSON
• Working With JSON Data in Python
• Read, Write and Parse JSON using 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.

• Reading and Writing JSON to a File in Python
• Read JSON file using Python
• Append to JSON file using Python

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.

• How to Parse Data From JSON into Python?
• How To Convert Python Dictionary To JSON?
• Python – Convert JSON to string
• Ways to convert string to json object
• Convert JSON data Into a Custom Python Object

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().

• Serializing JSON in Python
• json.dump() in Python
• json.dumps() in Python
• Python – Difference between json.dump() and json.dumps()
• Deserialize JSON to Object in Python
• json.load() in Python
• json.loads() in Python
• Difference Between json.load() and json.loads()
• Encoding and Decoding Custom Objects in Python-JSON
• Serialize and Deserialize complex JSON in Python

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.

• Python – JSON to XML
• Python – XML to JSON
• Convert CSV to JSON using Python
• Convert multiple JSON files to CSV Python
• Convert Text file to JSON in Python
• Saving Text, JSON and CSV to a File in Python

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.

• JSON Formatting in Python
• Pretty Print JSON in Python
• Flattening JSON objects in Python
• Check whether a string is valid json or not
• Sort JSON by value