MARC Record from marc_columbia

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035 $a(NNC)13674479
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020 $a1491903678$q(electronic bk.)
020 $a9781491900246
020 $a1491900245
020 $z9781491900253
020 $z1491900253
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037 $aAA9238D4-9976-4229-833C-D2B73852F810$bOverDrive, Inc.$nhttp://www.overdrive.com
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082 04 $a006.76$223
049 $aZCUA
100 1 $aSanderson, Dan,$eauthor.
245 10 $aProgramming Google App Engine with Python /$cDan Sanderson.
250 $aFirst edition.
264 1 $aSebastopol, CA :$bO'Reilly,$c2015.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$2rda
588 0 $aOnline resource; title from PDF title page (Ebsco, viewed July 7, 2015).
500 $aIncludes index.
505 0 $aCopyright; 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.
505 8 $aInstalling PythonInstalling 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.
505 8 $aRuntime VersionsApp 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; The Request Handler Abstraction; Introducing Instances.
505 8 $aRequest Scheduling and Pending LatencyWarmup Requests; Resident Instances; Instance Classes and Utilization; Instance Hours and Billing; The Instances Console Panel; Traffic Splitting; Chapter 5. Using Modules; An Example Layout; Configuring Modules; Manual and Basic Scaling; Manual Scaling and Versions; Startup Requests; Shutdown Hooks; Background Threads; Modules and the Development Server; Deploying Modules; Addressing Modules with URLs; Calling Modules from Other Modules; Module URLs and Secure Connections; Module URLs and Custom Domains; Dispatching Requests to Modules.
505 8 $aStarting and Stopping ModulesManaging and Deleting Modules and Versions; The Modules API; An Always-On Example; Chapter 6. Datastore Entities; Entities, Keys, and Properties; Introducing the Python Datastore API; Property Values; Strings, Text, and Bytes; Unset Versus the Null Value; Multivalued Properties; Keys and Key Objects; Using Entities; Getting Entities Using Keys; Inspecting Entity Objects; Saving Entities; Deleting Entities; Allocating System IDs; The Development Server and the Datastore; Chapter 7. Datastore Queries; Queries and Kinds; Query Results and Keys; The Query API.
520 $aThis 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.
630 00 $aGoogle Apps.
630 07 $aGoogle Apps.$2fast$0(OCoLC)fst01783175
650 0 $aWeb services$xDevelopment.
650 0 $aWeb site development$xComputer programs.
650 6 $aServices Web$xDéveloppement.
650 6 $aSites Web$xDéveloppement$xLogiciels.
650 7 $aCOMPUTERS$xInternet$xApplication Development.$2bisacsh
650 7 $aCOMPUTERS$xWeb$xWeb Programming.$2bisacsh
650 7 $aWeb site development$xComputer programs.$2fast$0(OCoLC)fst01173244
655 0 $aElectronic book.
655 4 $aElectronic books.
776 08 $iPrint version:$aSanderson, Dan.$tProgramming Google App Engine with Python.$bFirst edition.$dSebastopol, CA : O'Reilly, 2015$z1491900253$z9781491900253$w(OCoLC)881657159
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio13674479$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS