Discuss the concept of data serialization in Python. Explain how libraries like JSON and Pickle are used for data serialization and deserialization.

Data serialization is the process of converting complex data structures, such as objects or data in memory, into a format that can be stored or transmitted and then reconstructed later. Serialization allows data to be easily shared between different systems or stored persistently in a portable format. In Python, two commonly used libraries for data serialization and deserialization are JSON (JavaScript Object Notation) and Pickle. JSON is a lightweight and widely supported data interchange format. It represents data as key-value pairs and supports basic data types such as strings, numbers, booleans, arrays, and dictionaries. JSON is human-readable and is often used for web APIs and configuration files. To serialize data using JSON in Python, the `json` module is used. The `json` module provides functions like `json.dump()` and `json.dumps()` to convert Python objects into a JSON string. These functions can hand....