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  • Book Overview & Buying Python for Google App Engine
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Python for Google App Engine

Python for Google App Engine

By : Pippi
4.1 (10)
Buy this Book
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Python for Google App Engine

Python for Google App Engine

4.1 (10)
By: Pippi
Buy this Book

Overview of this book

If you are a Python developer, whether you have experience in web applications development or not, and want to rapidly deploy a scalable backend service or a modern web application on Google App Engine, then this book is for you.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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Downloading the example code
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Errata
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Piracy
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Questions
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1
1. Getting Started
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1. Getting Started
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The cloud computing stack – SaaS, PaaS, and IaaS
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Google Cloud Platform
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What Google App Engine does
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Making our first Python application
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Google Developer Console
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Summary
2
2. A More Complex Application
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2. A More Complex Application
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Experimenting on the Notes application
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Authenticating users
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HTML templates with Jinja2
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Handling forms
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Persisting data in Datastore
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Using static files
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Summary
3
3. Storing and Processing Users' Data
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3. Storing and Processing Users' Data
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Uploading files to Google Cloud Storage
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Transforming images with the Images service
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Processing long jobs with the task queue
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Scheduling tasks with Cron
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Sending notification e-mails
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Receiving users' data as e-mail messages
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Summary
4
4. Improving Application Performance
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4. Improving Application Performance
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Advanced use of Datastore
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Using Memcache
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Breaking our application into modules
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Summary
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5. Storing Data in Google Cloud SQL
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5. Storing Data in Google Cloud SQL
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Creating a Cloud SQL instance
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Connecting to the instance with the MySQL console
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Connecting to the instance from our application
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Loading and saving data
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Using the local MySQL installation for development
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Summary
6
6. Using Channels to Implement a Real-time Application
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6. Using Channels to Implement a Real-time Application
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Understanding how the Channel API works
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Making our application real time
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Implementing the server
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Tracking connections and disconnections
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Summary
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7. Building an Application with Django
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7. Building an Application with Django
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Setting up the local environment
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Rewriting our application using Django 1.7
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Summary
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8. Exposing a REST API with Google Cloud Endpoints
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8. Exposing a REST API with Google Cloud Endpoints
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Reasons to use a REST API
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Designing and building the API
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Implementing API endpoints
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Testing the API with API Explorer
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Protecting an endpoint with OAuth2
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Summary
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Index
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Index

Creating a Cloud SQL instance

We will make heavy use of Developer Console throughout this chapter, and we start by creating an instance of a Cloud SQL database. As we already know from Chapter 1, Getting Started, even if we created our Notes application from App Engine Admin Console, we should have a corresponding project on Developer Console.

Note

At this point, we must have enabled the billing feature for our project to access all the Cloud-SQL-related functionalities from within Developer Console.

From Developer Console, once our project is selected, we have to perform the following:

  1. Click the Cloud SQL item under the Storage section on the left-hand side menu.
  2. Push the Create an instance button.
  3. Provide a name for the database instance, for example, myfirst; the name of the instance must be unique within a project and will be always combined with the project name.
  4. Select REGION, the same as the location of the App Engine application (most likely United States).
  5. Select a tier for the instance...
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Python for Google App Engine
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