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Programming Google App Engine with Python

Build and Run Scalable Python Apps on Google's Infrastructure

Paperback Engels 2015 1e druk 9781491900253
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Samenvatting

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

Specificaties

ISBN13:9781491900253
Taal:Engels
Bindwijze:paperback
Aantal pagina's:439
Uitgever:O'Reilly
Druk:1
Verschijningsdatum:31-3-2015

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Over Dan Sanderson

Dan Sanderson is a technical writer and software engineer at Google, Inc. He has worked in the web industry for over 10 years as a software engineer and technical writer for Google, Amazon.com and the Walt Disney Internet Group. He lives in Seattle, Washington. For more information about Dan, visit his website at www.dansanderson.com.

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Inhoudsopgave

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

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        Programming Google App Engine with Python