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How Do Python REST API Endpoints Work? Are you curious about how Python can interact with web services and manage data through APIs? In this detailed video, we'll explain the fundamentals of how REST API endpoints work in Python programming. We'll start by describing what endpoints are and how they serve as gateways to specific resources or data on a web server. You'll learn how these endpoints are connected to URLs and how they facilitate different actions like retrieving, adding, updating, or deleting data. We'll cover the meaning of REST, which stands for Representational State Transfer, and discuss the common HTTP methods used in REST APIs, including GET, POST, PUT, PATCH, and DELETE. You'll understand how each method corresponds to specific operations, such as fetching data or modifying records. Additionally, we'll showcase how to create and handle these endpoints in Python using popular frameworks like Flask or FastAPI, including examples of defining routes and managing requests. Whether you're building your own web application, automating data retrieval, or integrating with other services, understanding how REST API endpoints function in Python is essential. Join us to learn how to connect URLs with resources, process various HTTP requests, and send appropriate responses, including JSON data with status codes. Mastering these concepts will help you develop more powerful, flexible Python projects that communicate seamlessly with web services. ⬇️ Subscribe to our channel for more valuable insights. 🔗Subscribe: https://www.youtube.com/@PythonCodeSchool/?sub_confirmation=1 #PythonAPI #RESTAPI #PythonProgramming #WebDevelopment #Flask #FastAPI #HTTPMethods #APIDevelopment #PythonTutorial #WebServices #JSON #Coding #ProgrammingTips #LearnPython #SoftwareDevelopment About Us: Welcome to Python Code School! Our channel is dedicated to teaching you the essentials of Python programming. Whether you're just starting out or looking to refine your skills, we cover a range of topics including Python basics for beginners, data types, functions, loops, conditionals, and object-oriented programming. You'll also find tutorials on using Python for data analysis with libraries like Pandas and NumPy, scripting, web development, and automation projects.