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Mastering Python JSON: load, loads, dump, and dumps Explained! Welcome to this comprehensive introduction to handling JSON in Python. JSON (JavaScript Object Notation) is the backbone of data exchange on the web, and knowing how to manipulate it is a must-have skill for any developer. In this video, we break down the fundamental concepts of JSON and dive deep into the four essential methods you need to know: load(), loads(), dump(), and dumps(). We’ll explain the core differences between working with strings versus working with files, so you never get confused between them again. We start with a high-level overview of the JSON structure and why it’s so widely used in APIs and configuration files. From there, we move into practical coding examples. You will learn how to use json.loads() to parse string data into Python dictionaries and json.dumps() to convert your Python objects back into JSON-formatted strings. Whether you're building a web scraper or connecting to a REST API, these two methods will be your most frequently used tools. Finally, we explore how to handle physical files on your system using json.load() and json.dump(). I’ll show you the step-by-step process of reading a .json file into your script and saving your processed data back to a disk. By the end of this tutorial, you will have a clear, "no-nonsense" understanding of the Python json module, enabling you to manage data like a pro. Don't forget to like and subscribe if you find this guide helpful! Github [https://github.com/nithishkumar86/CrewAI_C...]