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  • Python for Google App Engine
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Python for Google App Engine

Python for Google App Engine

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

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.
Table of Contents (10 chapters)
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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
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
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
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
4. Improving Application Performance
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4. Improving Application Performance
Advanced use of Datastore
Using Memcache
Breaking our application into modules
Summary
5
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
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
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
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
9
Index
Index

Chapter 4. Improving Application Performance

Even if our Notes application lacks many details, at this point, we are using a number of key components of the Cloud Platform, and so it can be considered a fully fledged web application. This is a good opportunity to stop adding major features and trying to delve into some implementation details involving Datastore, Memcache, and the Modules service in order to optimize application performance.

While going through this chapter, we have to take into consideration how optimizing a web application running on a pay-per-use service such as App Engine is crucial both to maximize performance and lower costs.

In this chapter, we will cover the following topics:

  • Gain a deeper knowledge of Datastore: properties, queries, caching, indexing and administration
  • How to store transient data into Memcache
  • How to structure our application with the help of the Modules service

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