How to parse JSON data from a response using Requests.

JSON is a lightweight data-interchange format that is easy to read and write. It's a format for storing and exchanging data between a client and a server. JSON is based on a subset of the JavaScript language but can be used with any programming language. It uses a simple syntax to represent data as key-value pairs. Where the keys are strings and the values can be strings, numbers, Booleans, null, arrays.   

Different Types of Data Stored in JSON:   

1. Objects: An object in JSON is represented by a set of key-value pairs enclosed in curly braces {}. The keys are strings, and the values can be any valid JSON data type, including objects and arrays.   
2. Arrays: An array in JSON is an ordered list of values enclosed in square brackets []. The values can be JSON data type, including objects, arrays, strings, and numbers.   
3. Strings: Strings in JSON are sequences of characters enclosed in double quotes. They represent text data and can contain any valid Unicode characters.   
4. Numbers: JSON supports numeric values, including integers and floating-point numbers. The numbers can be positive or negative and follow the same syntax as numbers.   
5. Booleans: JSON has a Boolean data type with two possible values: true or false. Booleans represent logical states.   
6. Null: JSON includes a special value called null, which represents the absence of a value. It states that a particular key has no value assigned to it.   

JSON is crucial for working with data in Python, dealing with data interchange. It has Skills in JSON parsing that empower you to extract, transform, and analyze data. The JSON plays a role in web development, exchanging data between the front and back end. It parses JSON in Python and allows you to process data received from user interactions or API. Many data processing and analysis workflows involve JSON data. By understanding Json, you can transform the data and extract relevant information.