Programming Google App Engine with Python - Info and Reading Options
By Dan Sanderson
"Programming Google App Engine with Python" was published by O'Reilly in 2015 - cau, it has 439 pages and the language of the book is English.
“Programming Google App Engine with Python” Metadata:
- Title: ➤ Programming Google App Engine with Python
- Author: Dan Sanderson
- Language: English
- Number of Pages: 439
- Publisher: O'Reilly
- Publish Date: 2015
- Publish Location: cau
“Programming Google App Engine with Python” Subjects and Themes:
- Subjects: ➤ Development - Python (Computer program language) - Application software - Web services - Computer programs - Google Apps - Web site development - Services Web - Développement - Sites Web - Logiciels - COMPUTERS - Internet - Application Development - Web - Web Programming
Edition Specifications:
- Pagination: xxi, 439 pages
Edition Identifiers:
- The Open Library ID: OL27193710M - OL20013637W
- Online Computer Library Center (OCLC) ID: 913895988 - 912421302
- Library of Congress Control Number (LCCN): 2015487784
- ISBN-13: 9781491900253 - 9781491903681
- ISBN-10: 1491900253
- All ISBNs: 1491900253 - 9781491900253 - 9781491903681
AI-generated Review of “Programming Google App Engine with Python”:
"Programming Google App Engine with Python" Table Of Contents:
- 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.
"Programming Google App Engine with Python" Description:
Open Data:
Intro -- Copyright -- Table of Contents -- Preface -- A Brief History of App Engine -- Using This Book -- Conventions Used in This Book -- Safari® Books Online -- How to Contact Us -- Acknowledgments -- Chapter 1. Introducing Google App Engine -- The Runtime Environment -- The Static File Servers -- Frontend Caches -- Cloud Datastore -- Entities and Properties -- Queries and Indexes -- Transactions -- The Services -- Google Accounts, OpenID, and OAuth -- Google Cloud Endpoints -- Task Queues and Cron Jobs -- Namespaces -- Developer Tools -- The Cloud Console -- Getting Started -- Chapter 2. Creating an Application -- Setting Up the Cloud SDK -- Installing Python -- Installing the Cloud SDK -- Authenticating with the Cloud SDK -- Installing the App Engine SDK -- Developing the Application -- The User Preferences Pattern -- A Simple App -- Introducing the webapp Framework -- Templates, Users, and Google Accounts -- Using Python Virtual Environments -- Datastore Models and Web Forms -- The Development Server Console -- Caching with Memcache -- The Python Interactive Console -- Registering the Application -- Uploading the Application -- Testing the App -- Enabling Billing -- Chapter 3. Configuring an Application -- The App Engine Architecture -- Configuring a Python App -- Runtime Versions -- App IDs and Versions -- Multithreading -- Request Handlers -- Static Files and Resource Files -- MIME Types -- Cache Expiration -- Domain Names -- Google Apps -- Configuring Secure Connections -- Secure Connections with Custom Domains -- Authorization with Google Accounts -- Environment Variables -- Inbound Services -- Custom Error Responses -- Python Libraries -- Built-in Handlers -- Includes -- Chapter 4. Request Handlers and Instances -- The Runtime Environment -- The Sandbox -- Quotas and Limits -- The Python Runtime Environment
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