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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 : Massimiliano Pippi
4.1 (10)
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Python for Google App Engine

Python for Google App Engine

4.1 (10)
By: Massimiliano 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
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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

Persisting data in Datastore

Even if users can log in and submit a note, our application isn't very useful until notes are stored somewhere. Google Cloud Datastore is the perfect place to store our notes. As part of App Engine's infrastructure, it takes care of data distribution and replication, so all we have to do is define store and retrieve our entities using the Python NDB (Next DB) Datastore API.

Note

There are currently two APIs available in the Python runtime to interact with Datastore: the DB Datastore API, also known as ext.db, and the NDB Datastore API. Even if both the APIs store exactly the same data in Datastore, in this book, we will only use NDB; it is more recent, provides more features, and its API is slightly more robust.

An entity has one or more properties that in turn have a name and a type; each entity has a unique key that identifies it, and instead of storing different data in different tables as in a relational database, every entity in Datastore is categorized...

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Programming languages
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Python for Google App Engine
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