JavaScript Object Notation (JSON) is a lightweight and widely-used data-interchange format that is compatible with many programming languages, including Python. It is particularly prevalent in modern web applications and REST APIs, serving both as a data storage format and a medium for data exchange. JSON structures come in two main types: unordered name-value pairs and ordered lists of values, which resemble Python dictionaries and lists, respectively. Python's built-in json library facilitates converting JSON data into native Python objects and vice versa, making it easy for developers to integrate and manipulate JSON data. This includes converting Python dictionaries to JSON strings with json.dumps() and parsing JSON strings into Python objects with json.loads(). The article provides examples of these operations and other common tasks such as serializing Python classes into JSON, modifying JSON data, and handling JSON data from REST APIs. Additionally, it demonstrates how to save JSON data to files and read from them, showcasing the convenience and flexibility of using JSON in Python programming.