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Python for Google App Engine

You're reading from   Python for Google App Engine Master the full range of development features provided by Google App Engine to build and run scalable web applications in Python

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Product type Paperback
Published in Jan 2015
Publisher Packt
ISBN-13 9781784398194
Length 198 pages
Edition 1st Edition
Languages
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Author (1):
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Massimiliano Pippi Massimiliano Pippi
Author Profile Icon Massimiliano Pippi
Massimiliano Pippi
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Table of Contents (10) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. A More Complex Application 3. Storing and Processing Users' Data 4. Improving Application Performance 5. Storing Data in Google Cloud SQL 6. Using Channels to Implement a Real-time Application 7. Building an Application with Django 8. Exposing a REST API with Google Cloud Endpoints 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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