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Python for Google App Engine

You're reading from   Python for Google App Engine Master the full range of development features provided by Google App Engine to build and run scalable web applications in Python

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Product type Paperback
Published in Jan 2015
Publisher Packt
ISBN-13 9781784398194
Length 198 pages
Edition 1st Edition
Languages
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Author (1):
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Massimiliano Pippi Massimiliano Pippi
Author Profile Icon Massimiliano Pippi
Massimiliano Pippi
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Table of Contents (10) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. A More Complex Application 3. Storing and Processing Users' Data 4. Improving Application Performance 5. Storing Data in Google Cloud SQL 6. Using Channels to Implement a Real-time Application 7. Building an Application with Django 8. Exposing a REST API with Google Cloud Endpoints Index

Reasons to use a REST API


Representational State Transfer (REST) is a simple stateless architecture style usually running over the HTTP protocol. The idea behind REST is exposing the state of the system as a collection of resources we can manipulate, addressing them by their name or ID. The backend service is responsible for making a resource's data persist, usually through the use of a database server. Clients retrieve the state of a resource performing HTTP requests to the server. The resource can be manipulated and sent back to the server through an HTTP request as well. Resources can be represented in several formats but we will use JSON, a lightweight, human-readable, and widespread interchange format. We can see the manipulation of a resource state a bit like a Create, Retrieve, Update, Delete (CRUD) system. What we are going to do is map each of these operations to a specific HTTP verb. We will perform an HTTP POST request to create a new resource, a GET request to retrieve an existing...

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