In Python, you can parse JSON data using the built-in json module. This module provides convenient methods for reading JSON from a file or a string and converting it into Python dictionaries and lists. Below is a step-by-step guide to loading and parsing JSON data in Python.

Example JSON File

Let's start with a sample JSON file named data.json:

{
    "name": "John Doe",
    "age": 32,
    "address": {
        "street": "123 Main St",
        "city": "Anytown",
        "state": "CA"
    }
}

Parsing JSON from a File

To load this JSON file into a Python dictionary, use the json.load() function. Here’s a simple example:

import json

Open the JSON file
with open('data.json', 'r') as file:
    # Parse the JSON file into a Python dictionary
    data = json.load(file)
Display the parsed data
print(data)

In this example, the json.load() function reads the JSON data from data.json and parses it into a Python dictionary. The with open() statement is used to open the file and ensure it’s closed properly after reading.

Parsing a JSON String

If you have JSON data in a string format, you can use json.loads() instead. Here’s an example:

import json

json_string = '{"name": "John Doe", "age": 32, "address": {"street": "123 Main St", "city": "Anytown", "state": "CA"}}'
Parse the JSON string into a Python dictionary
data = json.loads(json_string)
Display the parsed data
print(data)

Fetching JSON Data from an API

When dealing with APIs that return JSON data, you can use the requests library to make HTTP requests and parse the JSON response. Here’s how:

import requests

response = requests.get('https://httpbin.org/ip')
Check if the request was successful
if response.status_code == 200:
    # Parse the JSON response directly
    data = response.json()
    print(data)
else:
    print(f"Failed to retrieve data: {response.status_code}")

In this example, response.json() directly parses the JSON content of the API response into a Python dictionary, making it easy to work with JSON data returned from web APIs. This method is both convenient and efficient for handling JSON in Python.