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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. 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. Output_file = open(filename + '.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. #parse the content of each file using xmltodict

#iterate over the XML files in the folder The code below merely assumes that you have directory consisting of XML files and that you'd like to convert them to JSON format and write them to a new JSON file. Xmltodict worked well with all the XML files I threw at it, so I'm not going to talk about the form and structure of the XML I was working with. You can download xmltodict using pip: $ pip3 install xmltodict I recently needed to converse a large collection of fairly complex XML files into JSON format to make them ready for leading into an Elasticsearch cluster.Īfter a bit of searching around, I found a really nice Python library called xmltodict, which worked perfectly.