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When crafting web applications with Python, ensuring your data is safe and transferable across the web is paramount. This involves encoding sensitive information into a format that's readable by both servers. URL encoding, a fundamental practice in web development, plays a crucial role in this process. Python provides powerful tools to carry out URL encoding effectively.
At its core, URL encoding changes special characters in strings with their corresponding encoded equivalents. These encoded characters can then be safely included within Uniform Resource Locators (URLs), avoiding potential issues and ensuring proper transmission of data.
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Python has emerged as a dominant programming language due to its readability. Its vast ecosystem of libraries and frameworks makes it ideal for a wide range of applications, from web development to data science. Essential to Python's power is its ability to seamlessly interact with external data formats. This is where JSON comes in, providing a efficient way to store structured information.
JSON stands for JavaScript Object Notation, and it's a text-based format that uses a organized 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 convert Python objects into JSON strings and vice versa.
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