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Programming Google App Engine With Python Pdf Free

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MessagePosté le: Sam 1 Oct - 21:18 (2016)    Sujet du message: Programming Google App Engine With Python Pdf Free Répondre en citant

Programming Google App Engine With Python Pdf Free > shorl.com/mifodrybafobre

Programming Google App Engine With Python Pdf Free

Choose from many popular web application frameworks, including Django and Flask. .. Choose from many popular web application frameworks, including Django and Flask. DropPDF Programming Google App Engine With Python PDF (7.10 MB) Download . 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 Chapter 1Introducing Google App EngineThe Runtime EnvironmentThe Static File ServersFrontend CachesCloud DatastoreThe ServicesGoogle Accounts, OpenID, and OAuthGoogle Cloud EndpointsTask Queues and Cron JobsNamespacesDeveloper ToolsThe Cloud ConsoleGetting StartedChapter 2Creating an ApplicationSetting Up the Cloud SDKDeveloping the ApplicationRegistering the ApplicationUploading the ApplicationTesting the AppEnabling BillingChapter 3Configuring an ApplicationThe App Engine ArchitectureConfiguring a Python AppApp IDs and VersionsMultithreadingRequest HandlersStatic Files and Resource FilesDomain NamesGoogle AppsConfiguring Secure ConnectionsSecure Connections with Custom DomainsAuthorization with Google AccountsEnvironment VariablesInbound ServicesCustom Error ResponsesPython LibrariesBuilt-in HandlersIncludesChapter 4Request Handlers and InstancesThe Runtime EnvironmentThe Request Handler AbstractionIntroducing InstancesRequest Scheduling and Pending LatencyWarmup RequestsResident InstancesInstance Classes and UtilizationInstance Hours and BillingThe Instances Console PanelTraffic SplittingChapter 5Using ModulesAn Example LayoutConfiguring ModulesManual and Basic ScalingStartup RequestsShutdown HooksBackground ThreadsModules and the Development ServerDeploying ModulesAddressing Modules with URLsDispatching Requests to ModulesStarting and Stopping ModulesManaging and Deleting Modules and VersionsThe Modules APIAn Always-On ExampleChapter 6Datastore EntitiesEntities, Keys, and PropertiesIntroducing the Python Datastore APIProperty ValuesKeys and Key ObjectsUsing EntitiesAllocating System IDsThe Development Server and the DatastoreChapter 7Datastore QueriesQueries and KindsQuery Results and KeysThe Query APIIntroducing IndexesAutomatic Indexes and Simple QueriesCustom Indexes and Complex QueriesNot-Equal and IN FiltersUnset and Nonindexed PropertiesSort Orders and Value TypesQueries and Multivalued PropertiesQuery CursorsProjection QueriesConfiguring IndexesChapter 8Datastore TransactionsEntities and Entity GroupsWhat Can Happen in a TransactionTransactions in PythonHow Entities Are UpdatedHow Entities Are ReadBatch UpdatesHow Indexes Are UpdatedCross-Group TransactionsChapter 9Data Modeling with ndbModels and PropertiesProperty DeclarationsModeling RelationshipsModel InheritanceQueries and PolyModelsCreating Your Own Property ClassesAutomatic BatchingAutomatic CachingChapter 10Datastore AdministrationInspecting the DatastoreManaging IndexesAccessing Metadata from the AppRemote ControlsChapter 11Using Google Cloud SQL with App EngineChoosing a Cloud SQL InstanceInstalling MySQL LocallyInstalling the MySQLdb LibraryCreating a Cloud SQL InstanceConnecting to an Instance from Your ComputerSetting Up a DatabaseConnecting to the Database from App EngineBackup and RestoreExporting and Importing DataThe gcloud sql CommandsChapter 12The Memory CacheCalling Memcache from PythonKeys and ValuesSetting ValuesGetting ValuesDeleting ValuesAtomic Increment and DecrementCompare and SetBatching Calls to MemcacheMemcache AdministrationChapter 13Fetching URLs and Web ResourcesFetching URLsOutgoing HTTP RequestsHTTP over SSL (HTTPS)Request and Response SizesRequest DeadlinesHandling RedirectsResponse ObjectsChapter 14Sending and Receiving Email MessagesSending Email MessagesReceiving Email MessagesChapter 15Sending and Receiving Instant Messages with XMPPInviting a User to ChatSending Chat MessagesReceiving Chat MessagesHandling Error MessagesManaging PresenceChapter 16Task Queues and Scheduled TasksConfiguring Task QueuesEnqueuing a TaskTask ParametersPush QueuesPull QueuesTransactional Task EnqueueingTask ChainingTask Queue AdministrationDeferring WorkScheduled TasksChapter 17Optimizing Service CallsCalling Services AsynchronouslyVisualizing Calls with AppStatsChapter 18The Django Web Application FrameworkUsing the Bundled Django LibraryCreating a Django ProjectHooking It Up to App EngineCreating a Django AppUsing Django TemplatesUsing ndb with DjangoUsing WTForms with ndbUsing a Newer Version of DjangoUsing Django with Google Cloud SQLChapter 19Managing Request LogsWriting to the LogViewing Recent LogsDownloading LogsLogs RetentionQuerying Logs from the AppFlushing the Log BufferChapter 20Deploying and Managing ApplicationsUploading an ApplicationUsing VersionsManaging Service ConfigurationApp Engine SettingsManaging DevelopersQuotas and BillingGetting Help Title: Programming Google App Engine with Python By: Dan Sanderson Publisher: O'Reilly Media Formats: Print Ebook Safari Books Online Print: July 2015 Ebook: June 2015 Pages: 464 Print ISBN: 978-1-4919-0025-3 ISBN 10: 1-4919-0025-3 Ebook ISBN: 978-1-4919-0022-2 ISBN 10: 1-4919-0022-9 Dan Sanderson Dan Sanderson is a technical writer and software engineer at Google Inc. 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. The flagship of Googles Cloud Platform, App Engine hosts your app on infrastructure that grows automatically with your traffic, minimizing up-front costs and accommodating unexpected visitors. Home Programming Mobile Phone Programming IT eBooks Search Programming Google App Engine with Python Posted by samira August 14, 2015 Build and Run Scalable Python Apps on Googles Infrastructure eBook Description: Programming Google App Engine with Python 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. Preparing document for printing.

These lines become more prominent as the snake matures. .. For more information about Dan, visit his website at View Dan Sanderson's full profile page. I am waiting for the chapters 9 and 18, -Data modeling with ndb, and Django web application-. Wishes: EndpointsBottom Line Yes, I would recommend this to a friendWas this review helpful?Yes/No-You may also flag this reviewDisplaying reviews 1-3Back to top Immediate Access - Go Digitalwhat's this? Ebook: $38.99 Formats: DAISY, ePub, Mobi, PDF Print & Ebook: $49.49 Print: $44.99 Safari Books Online - Read now > Essential Links Register Your Book View/Submit Errata Media Praise Ask a Question Bulk Discounts & Licensing Twitter YouTube Slideshare Facebook Google Plus RSS View All RSS Feeds > 2016, O'Reilly Media, 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. Thumbnails Document Outline Attachments Find: Previous Next Highlight all Match case Presentation Mode Open Print Download Current View Go to First Page Go to Last Page Rotate Clockwise Rotate Counterclockwise Enable hand tool Document Properties Toggle Sidebar Find Previous Next Page: Presentation Mode Open Print Download Current View Tools Zoom Out Zoom In Automatic Zoom Actual Size Fit Page Full Width 50% 50% 75% 75% 100% 100% 125% 125% 150% 150% 200% 200% 300% 300% 400% More Information Less Information Close Enter the password to open this PDF file: Cancel OK File name: - File size: - Title: - Author: - Subject: - Keywords: - Creation Date: - Modification Date: - Creator: - PDF Producer: - PDF Version: - Page Count: - Close . 0% . App Engine's Python support includes a fast Python 2.7 interpreter, the standard library, and a WSGI-based runtime environment. He lives in Seattle, Washington.

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