python object json serializable

Title: A Guide to Making Python Objects JSON-Serializable
Introduction:
JSON (JavaScript Object Notation) is a lightweight data-interchange format commonly used for data exchange between a server and web application, as well as for configuration files. Python provides a built-in module called json that makes it easy to work with JSON data. However, not all Python objects are directly serializable to JSON. In this tutorial, we'll explore how to make your custom Python objects JSON-serializable.
Before diving into making objects JSON-serializable, it's essential to understand how JSON serialization works. JSON can represent data in key-value pairs, arrays, strings, numbers, booleans, and null. Python objects that are directly serializable to JSON include dictionaries, lists, strings, numbers, booleans, and None.
To make a custom Python object JSON-serializable, you need to implement the JSONSerializable protocol. This involves defining two methods: __serialize__ and __deserialize__. The __serialize__ method should return a JSON-serializable representation of the object, and the __deserialize__ method should create an instance of the object from a JSON-serializable representation.
Now that you've made your object JSON-serializable, you can use it seamlessly with the json module. Serialize and deserialize your objects as needed in your application.
Conclusion:
Making custom Python objects JSON-serializable allows you to work with a wider range of data types when interacting with JSON. By following the JSONSerializable protocol and implementing serialization and deserialization methods, you can seamlessly integrate your objects into JSON-based workflows.
ChatGPT