Module 15: JSON

When different applications or servers on the internet need to communicate and share data, they use a highly popular standard format called JSON (JavaScript Object Notation).

JSON structure looks very similar to a Python Dictionary (key-value pairs), making it easy for Python developers to understand and work with.

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Real-world Analogy

Think of JSON as the English language of the internet. Just as people from different countries (speaking Telugu, Spanish, or Chinese) use English as a common language to communicate, different software applications (one built in Python, another in JavaScript, and another in Java) use JSON as a common format to exchange data.

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Importance in Data Science and AI

JSON is heavily utilized in modern AI workflows and APIs.

• When sending prompts or receiving responses from LLM APIs like OpenAI (ChatGPT) or Google Gemini, the data exchange happens in JSON format.
• Web APIs providing real-world data (such as weather data, stock prices, or social media feeds) return information structured as JSON.
• Working with JSON is a core skill for any developer building AI-powered tools or analyzing web data.

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What we will learn in this module:

In this module, we will learn:

1. What is JSON?: Understanding JSON and its benefits.
2. JSON Structure: The syntax rules of JSON (objects, arrays, strings, numbers, booleans, and null values).
3. Reading & Writing JSON: How to convert JSON data to Python dictionaries and vice versa (json.dump and json.load).
4. How AI uses JSON: Real-world examples of using JSON with AI APIs.