JSON (JavaScript Object Notation)

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JSON (JavaScript Object Notation) handling in Python involves parsing JSON data (converting from JSON to Python objects) and generating JSON data (converting from Python objects to JSON). This is commonly used in web applications, APIs, and configurations due to JSON’s lightweight and easy-to-read format. Python provides built-in support for JSON through the json module, allowing you to easily work with JSON data within your Python programs.

Key Features of JSON Handling in Python

1. Parsing JSON (Deserialization): Converting a JSON string to a Python object.
2. Generating JSON (Serialization): Converting Python objects to a JSON formatted string.
3. Support for Python Data Types: The json module can handle Python’s native data types like dictionaries, lists, strings, numbers, tuples (which are converted into arrays), and booleans. It does not directly handle complex data types like custom classes.

Example: Using the JSON Module

Here’s a quick look at how to parse and generate JSON data using the Python json module:

Parsing JSON (Deserialization)

import json

# Example JSON string
json_string = '{"name": "John", "age": 30, "city": "New York"}'

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