Course Code: 5663

Programming Google App Engine Applications in Python

Class Dates:
1/28/2019
3/25/2019
Length:
3 Days
Cost:
$1295.00
Class Time:
Technology:
web, debeloper
Delivery:
Instructor-Led Training

Overview

  • Course Overview
  • Google App Engine™, which is part of the comprehensive Google Cloud Platform™ suite of cloud-based services, provides a powerful and flexible framework in which you can develop full-featured cloud-based applications. In this course, you'll learn how to develop App Engine applications in Python®, using HTML templates that your code loads with content from Google Datastore and Google Cloud Storage™.

    You'll learn how to address various challenges of developing in a scalable, cloud-based application environment, including concepts such as data consistency, cost containment, uploading large batches of content to the cloud, and processing tasks in background processes. You'll become familiar with a wide variety of libraries and services, including Webapp2, Jinja2, WTForms, Google user authentication, search, ZIP file compression, channels, taskqueue, and others.

  • Audience
  • This course is designed for programmers who want to learn to develop cloud-based applications by using Google App Engine for Python.

Prerequisites

  • To ensure your success in this course, you should have experience writing programs in the Python programming language and developing web content in HTML and JavaScript. It is recommended that you have some experience developing web applications using a server-side programming language. You should also be aware of products within the Google Cloud Platform, and have a general understanding of their benefits and capabilities.

    You can obtain this level of knowledge and skills by taking the following Logical Operations courses, or having equivalent knowledge and skills:

    HTML5: Content Authoring Fundamentals
    HTML5: Content Authoring with New and Advanced Features
    Python® Programming: Introduction
    Google Cloud Fundamentals
  • Recommended Courses:

Course Details

  • In this course, you will develop Google App Engine applications in Python.
  • Perform the complete cycle of Google App Engine development, including development tools setup, programming, testing, and deployment.
  • Develop a user interface by using Webapp2 and HTML templates.
  • Authenticate Google account users, and control access to application features based on the user account.
  • Enable a web application to respond to get and post requests, and process web form submissions.
  • Store, retrieve, and delete data in Google Cloud Datastore.
  • Store, retrieve, and delete files in Google Cloud Storage, while controlling consistency and optimizing for performance and cost of storage services.
  • Perform background and batch operations and provide notifications to users through HTTP, XMPP, Mail, and Sockets.
  • Query the datastore and use the Search API to search application content.
  • Upload and deploy applications to the cloud.
  • Lesson 1: Developing and Testing an Application
  • Topic A: Set Up the Google App Engine Environment
  • Topic B: Create an App Engine Project
  • Topic C: Launch and Test an Application
  • Lesson 2: Developing a Web App User Interface
  • Topic A: Use HTML Templates
  • Topic B: Incorporate Static Files in a Web Application
  • Lesson 3: Authenticating Google Users
  • Topic A: Provide a Login Capability
  • Topic B: Control Access to App Features Through Authentication
  • Lesson 4: Handling User Input
  • Topic A: Process Web Requests
  • Topic B: Process Forms Securely
  • Topic C: Validate User Input
  • Lesson 5: Storing Data in the Datastore
  • Topic A: Store and Retrieve Datastore Entities
  • Topic B: Use the Datastore Effectively
  • Topic C: Edit and Delete Datastore Entities
  • Lesson 6: Working with Files
  • Topic A: Support File Uploads
  • Topic B: Optimize Retrieval of Published Data
  • Lesson 7: Performing Background and Batch Operations
  • Topic A: Import Bulk Data
  • Topic B: Send Messages to Users
  • Lesson 8: Querying the Datastore
  • Topic A: Query the Google Cloud Datastore
  • Topic B: Perform Search
  • Topic C: Query Cursors
  • Lesson 9: Managing Applications in the Cloud
  • Topic A: Create and Configure the Project
  • Topic B: Deploy the Application
  • Topic C: Optimize Performance