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Diving into the world of Python programming often leads developers to encounter JSON, a ubiquitous data format. But what exactly is JSON? It stands for "JSON", a lightweight and human-readable format for representing information exchange. Think of it as a universal language for computers to transmit data effortlessly. In Python, working with JSON is a breeze thanks to the built-in libraries that make parsing and generating JSON objects a smooth experience.
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Python has emerged as a popular programming language due to its simplicity. Its vast ecosystem of libraries and frameworks makes it suitable for a wide range of applications, from web development to data science. Central to Python's power is its ability more info to seamlessly communicate with external data formats. This is where JSON comes in, providing a simple way to store structured information.
JSON stands for JavaScript Object Notation, and it's a text-based format that uses a defined syntax. It consists of key-value pairs enclosed in curly braces for objects or square brackets for arrays. Python offers built-in modules to efficiently work with JSON data, allowing you to encode Python objects into JSON strings and vice versa.
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