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    REST (Representational State Transfer) is a software architecture style that defines a pattern for client and server communications over a network. Python provides excellent tools for both consuming and building REST APIs.

    Consuming REST APIs with Python

    To interact with REST APIs in Python, the requests library is commonly used. This library simplifies the process of making HTTP requests and handling responses.

    Example: GET Request

    To retrieve data from a REST API, you can use the GET method. Here's an example of how to fetch data from a sample API:

    import requests

    api_url = "https://jsonplaceholder.typicode.com/todos/1"
    response = requests.get(api_url)
    data = response.json()

    print(data)

    This code sends a GET request to the specified URL and prints the JSON response.

    Example: POST Request

    To create a new resource, you can use the POST method. Here's an example:

    import requests

    api_url = "https://jsonplaceholder.typicode.com/todos"
    todo = {"userId": 1, "title": "Buy milk", "completed": False}
    response = requests.post(api_url, json=todo)
    data = response.json()

    print(data)

    This code sends a POST request with JSON data to create a new todo item.

    Building REST APIs with Python

    Python offers several frameworks for building REST APIs, including Flask, Django REST Framework, and FastAPI.

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    How to Build RESTful APIs with Python & FastAPI: A Step-by-Step Guide
    Codez Up
    What is a REST API in Python?
    REST stands for REpresentational State Transfer and is an architectural style used in modern web development. It defines a set or rules/constraints for a web application to send and receive data. In this article, we will build a REST API in Python using the Flask framework. Flask is a popular micro framework for building web applications.
    geeksforgeeks.org
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