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Programming Google App Engine with Python: Build and Run Scalable Python Apps on Google's Infrastructure - Softcover
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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
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Über die Autorin bzw. den Autor
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 http://www.dansanderson.com.
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Programming Google App Engine with Python : Build and Run Scalable Python Apps on Google's Infrastructure
Verlag:
O'Reilly Media, Incorporated, 2015
ISBN 10: 1491900253
ISBN 13: 9781491900253
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Programming Google App Engine with Python : Build and Run Scalable Python Apps on Google's Infrastructure
Verlag:
O'Reilly Media, Incorporated, 2015
ISBN 10: 1491900253
ISBN 13: 9781491900253
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Programming Google App Engine with Python: Build and Run Scalable Python Apps on Google's Infrastructure
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Taschenbuch. Zustand: Neu. Neuware - Programming Google App Engine with Python teaches intermediate and advanced web developers how to build infinitely scalable applications with App Engine. Like Amazon's EC2, App Engine lets companies 'rent' cloud computing resources. This book describes ways to perform common development tasks using App Engine APIs and services, using App Engine s runtime environment for the Python programming language. The Python runtime environment provides a fast interpreter for the Python language, and includes Python libraries for all of App Engine s features. It is compatible with many major open source web application frameworks, such as Django and Flask. If you re a Java programmer, look for Dan Sanderson s companion volume Programming Google App Engine with Java. Artikel-Nr. 9781491900253
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Programming Google App Engine with Python: Build and Run Scalable Python Apps on Google's Infrastructure
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Programming Google App Engine with Python
Verlag:
O\'Reilly Media, 2015
ISBN 10: 1491900253
ISBN 13: 9781491900253
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Kartoniert / Broschiert. Zustand: New. 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.Programming Google App Engine with Python teaches intermediate and advanced web devel. Artikel-Nr. 37695451
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Programming Google App Engine with Python
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Zustand: New. 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. Num Pages: 464 pages, black & white illustrations. BIC Classification: UMW. Category: (XV) Technical / Manuals. Dimension: 235 x 181 x 26. Weight in Grams: 792. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781491900253
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