Python for Google App Engine Front Cover

Python for Google App Engine

  • Length: 184 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2015-01-27
  • ISBN-10: 1784398195
  • ISBN-13: 9781784398194
  • Sales Rank: #1975097 (See Top 100 Books)
Description

Master the full range of development features provided by Google App Engine to build and run scalable web applications in Python

About This Book

  • Use the power of Python to build full-fledged, scalable web applications running on Google’s infrastructure
  • Learn how to use Google Cloud Platform tools and services adding features and enriching your Python web applications
  • Build a real-world web application in no time with this comprehensive step-by-step guide

Who This Book Is For

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.

In Detail

Google App Engine is a key component of the Google Cloud Platform and one of the most comprehensive cloud services. Together with Python, the first programming language ever supported by the platform, Google App Engine favors rapid development, significantly contributing to the success of your projects.

This book will guide you through the Google Cloud Platform starting from the basics all the way through successfully designing, building, and running modern and scalable web applications in Python with Google App Engine. From authentication to data storage, and from asynchronous jobs to server push techniques, you will learn how to use services such as datastore, cloud storage, Cloud SQL, task queues and channels in a Python application based on web frameworks such as Webapp2 and Django. As the topics in this book are covered in a step-by-step fashion, you will get to grips with the information quickly and easily.

Table of Contents

Chapter 1: Getting Started
Chapter 2: A More Complex Application
Chapter 3: Storing and Processing Users’ Data
Chapter 4: Improving Application Performances
Chapter 5: Storing Data in Google Cloud SQL
Chapter 6: Using Channels to Implement a Real-time Application
Chapter 7: Building an Application with Django
Chapter 8: Exposing a REST API with Google Cloud Endpoints

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