Programming Google App Engine with Python: Build and Run Scalable Python Apps on Google’s Infrastructure Front Cover

Programming Google App Engine with Python: Build and Run Scalable Python Apps on Google’s Infrastructure

  • Length: 464 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2015-07-11
  • ISBN-10: 1491900253
  • ISBN-13: 9781491900253
  • Sales Rank: #1067154 (See Top 100 Books)
Description

This practical guide shows intermediate and advanced web and mobile app developers how to build highly scalable Python applications in the cloud with Google App Engine. The flagship of Google’s Cloud Platform, App Engine hosts your app on infrastructure that grows automatically with your traffic, minimizing up-front costs and accommodating unexpected visitors. You’ll learn hands-on how to perform common development tasks with App Engine services and development tools, including deployment and maintenance.

App Engine’s Python support includes a fast Python 2.7 interpreter, the standard library, and a WSGI-based runtime environment. Choose from many popular web application frameworks, including Django and Flask.

  • Get a hands-on introduction to App Engine’s tools and features, using an example application
  • Simulate App Engine on your development machine with tools from Google Cloud SDK
  • Structure your app into individually addressable modules, each with its own scaling configuration
  • Exploit the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with the ndb library
  • Use Cloud SQL for standard relational databases with App Engine applications
  • Learn how to deploy, manage, and inspect your application on Google infrastructure

Table of Contents

Chapter 1. Introducing Google App Engine
Chapter 2. Creating an Application
Chapter 3. Configuring an Application
Chapter 4. Request Handlers and Instances
Chapter 5. Using Modules
Chapter 6. Datastore Entities
Chapter 7. Datastore Queries
Chapter 8. Datastore Transactions
Chapter 9. Data Modeling with ndb
Chapter 10. Datastore Administration
Chapter 11. Using Google Cloud SQL with App Engine
Chapter 12. The Memory Cache
Chapter 13. Fetching URLs and Web Resources
Chapter 14. Sending and Receiving Email Messages
Chapter 15. Sending and Receiving Instant Messages with XMPP
Chapter 16. Task Queues and Scheduled Tasks
Chapter 17. Optimizing Service Calls
Chapter 18. The Django Web Application Framework
Chapter 19. Managing Request Logs
Chapter 20. Deploying and Managing Applications

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