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The requests library is an awesome tool for working with REST APIs and an indispensable part of your Python tool belt. After deleting the resource, the API sends back an empty JSON object indicating that the resource has been deleted. This sends a DELETE request to the REST API, which then removes the matching resource. You call lete() with an API URL that contains the ID for the todo you would like to remove. > import requests > import json > api_url = '' > todo = > response.

AUTOMATED LOGIC WEB CTRL DEMO HOW TO

Note, REST is not a specification but a set of guidelines on how to architect a network-connected software system. Code on demand (optional): The server may transfer code to the client that it can run, such as JavaScript for a single-page application.Layered system: The client may access the resources on the server indirectly through other layers such as a proxy or load balancer.Uniform interface: The server will provide a uniform interface for accessing resources without defining their representation.Cacheable: The data retrieved from the server should be cacheable either by the client or by the server.

Client-server: The client and server must be decoupled from each other, allowing each to develop independently.Stateless: The server won’t maintain any state between requests from the client.REST defines the following architectural constraints: REST provides a set of constraints for software architecture to promote performance, scalability, simplicity, and reliability in the system. REST stands for representational state transfer and is a software architecture style that defines a pattern for client and server communications over a network. Free Bonus: Click here to download a copy of the 'REST API Examples' Guide and get a hands-on introduction to Python + REST API principles with actionable examples.

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