Programming Google App Engine with Python
Build and Run Scalable Python Apps on Google's Infrastructure
Publisher: O'Reilly Media
Final Release Date: June 2014
Pages: 350

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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.

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oreillyProgramming Google App Engine with Python
 
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4.0

Excellent introduction to GAE with Python

By WCB

from Puerto Rico

About Me Developer, Educator, Entrepreneur

Verified Buyer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

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    Comments about oreilly Programming Google App Engine with Python:

    This books goes from the basics to the advanced topics of the Google App Engine in a coherent way. This book is perfect for Python developers looking to expand their expertise. If you are a Python developer interested in using GAE to create scalable web applications or SaaS, this is the book.

     
    5.0

    It gave me a clear path

    By ix

    from Jalisco, MX

    About Me Designer, Developer, Educator, Maker

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    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Intermediate
      • Novice

      Comments about oreilly Programming Google App Engine with Python:

      Very polished step by step path for each fundamental topic. I am waiting for the chapters 9 and 18, -Data modeling with ndb, and Django web application-.

      Wishes: Endpoints

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