Day 15.1: JSON in Python

JSON Basics: Lightweight data format for easy human and machine processing.
Python Integration: Use the `json` module for serializing and deserializing data.
Serialization: `json.dumps()` to convert Python objects to JSON strings.
Deserialization: `json.loads()` to convert JSON strings back to Python objects.
Advanced Handling: Explore Python's functionalities like list comprehensions and first-class functions.
Practical Applications: JSON's role in web development, API communication, and data exchange.