How does the Python json module facilitate the serialization and deserialization of data, and what are its advantages over other serialization formats?

 Q15: How does the Python json module facilitate the serialization and deserialization of data, and what are its advantages over other serialization formats?

A15:

• Facilitating Serialization and Deserialization:

• The json module in Python provides functions for encoding (serialization) and decoding (deserialization) data in the JSON (JavaScript Object Notation) format.
• json.dumps() is used to serialize Python objects into a JSON-formatted string, while json.loads() is used to deserialize a JSON string into Python objects.

import json

# Serialization (Python to JSON)

data = {'name': 'John', 'age': 30}

json_string = json.dumps(data)

# Deserialization (JSON to Python)

decoded_data = json.loads(json_string)

Advantages Over Other Serialization Formats:

• JSON is a widely supported and human-readable data interchange format.
• The json module is part of the Python standard library, making it readily available without external dependencies.
• JSON is language-independent, allowing interoperability between different programming languages.