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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
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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
9
Index
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Index

Sending notification e-mails

It's very common for web applications to send notifications to the users, and e-mails are a cheap and effective channel for delivering. The Notes application could benefit from a notification system as well: early in this chapter, we modified the shrink image function so that it runs in a task queue. Users receive a response immediately, but the actual job is put in a queue and they don't know if and when shrink operations complete successfully.

As we can send e-mail messages from an App Engine application on behalf of the administrators or users with Google Accounts, we send a message to the user as soon as the shrink operation is completed.

We first import the mail package in the main.py module:

from google.appengine.api import mail

Then we append the following code to the end of the post() method in the ShrinkHandler class:

sender_address = "Notes Team <[email protected]>"
subject = "Shrink complete!"
body = "We shrunk...
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Python for Google App Engine
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