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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
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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

Chapter 3. Storing and Processing Users' Data

There are several pieces of data that need to be persisted and that don't fit very well into the Datastore or similar storage systems, such as images and media files in general; these are usually big and their size impacts application costs and how they should be uploaded, stored, and served back when requested. In addition, sometimes we need to modify these contents on the server side and the operation can take a long time.

We will add some features to the Notes application that will raise these kinds of problems, and we will see how App Engine provides everything we need to face them effectively.

In this chapter, we will cover the following topics:

  • Adding a form to our application to let users upload images
  • Serving the files uploaded back to the clients
  • Transforming images with the Images service
  • Performing long jobs with the task queue
  • Scheduling tasks
  • Handling e-mail messages from our application
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Tech Concepts
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Programming languages
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Python for Google App Engine
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