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Python for Google App Engine

By : Pippi

4.1 (10)

Python for Google App Engine

4.1 (10)

By: Pippi

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

Free Chapter

1. Getting Started

1. Getting Started

The cloud computing stack – SaaS, PaaS, and IaaS

Google Cloud Platform

What Google App Engine does

Making our first Python application

Google Developer Console

Summary

2. A More Complex Application

2. A More Complex Application

Experimenting on the Notes application

Authenticating users

HTML templates with Jinja2

Handling forms

Persisting data in Datastore

Using static files

Summary

3. Storing and Processing Users' Data

3. Storing and Processing Users' Data

Uploading files to Google Cloud Storage

Transforming images with the Images service

Processing long jobs with the task queue

Scheduling tasks with Cron

Sending notification e-mails

Receiving users' data as e-mail messages

Summary

4. Improving Application Performance

4. Improving Application Performance

Advanced use of Datastore

Using Memcache

Breaking our application into modules

Summary

5. Storing Data in Google Cloud SQL

5. Storing Data in Google Cloud SQL

Creating a Cloud SQL instance

Connecting to the instance with the MySQL console

Connecting to the instance from our application

Loading and saving data

Using the local MySQL installation for development

Summary

6. Using Channels to Implement a Real-time Application

6. Using Channels to Implement a Real-time Application

Understanding how the Channel API works

Making our application real time

Implementing the server

Tracking connections and disconnections

Summary

7. Building an Application with Django

7. Building an Application with Django

Setting up the local environment

Rewriting our application using Django 1.7

Summary

8. Exposing a REST API with Google Cloud Endpoints

8. Exposing a REST API with Google Cloud Endpoints

Reasons to use a REST API

Designing and building the API

Implementing API endpoints

Testing the API with API Explorer

Protecting an endpoint with OAuth2

Summary

Index

Index

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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:

Click the Cloud SQL item under the Storage section on the left-hand side menu.
Push the Create an instance button.
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.
Select REGION, the same as the location of the App Engine application (most likely United States).
Select a tier for the instance...

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