Python for Google App Engine

Python for Google App Engine

Instructor: Packt - Course Instructors

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8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Persist and manage data in the cloud using the NDB Python API
Run asynchronous tasks with task queues and Cron
Set up and manage a MySQL server instance on Cloud SQL

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

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There are 8 modules in this course

This course covers how to leverage Google App Engine to build and deploy scalable Python web applications. With practical tools and techniques, it equips developers to create cloud-based services and applications. Google App Engine’s infrastructure helps developers enhance their Python expertise and scale applications efficiently.

Learners will gain hands-on experience in setting up backend services, managing data, and automating tasks on Google Cloud, offering real-world applications for cloud-based development. The course empowers developers to deploy applications rapidly and ensures they are scalable for the cloud. What sets this course apart is its focus on applying Google Cloud technologies directly to Python development. You’ll not only learn the theory but also put it into practice through real-world projects, ensuring a balanced mix of knowledge and skills. This course is suitable for Python developers interested in building scalable web applications. No prior experience with web development is required, although a basic understanding of Python will be beneficial.

In this section, we explore cloud computing models SaaS, PaaS, and IaaS, set up Google Cloud Platform, and deploy a Python application on App Engine for scalable web services.

What's included

2 videos8 readings1 assignment

2 videos Total 2 minutes

Course Overview 1 minute
Getting Started - Overview Video 1 minute

8 readings Total 90 minutes

Introduction 10 minutes
Services 10 minutes
The Services 5 minutes
Making Our First Python Application 10 minutes
App Engine Launcher 15 minutes
The app.yaml Configuration File 10 minutes
Running the Development Server 20 minutes
Google Developer Console 10 minutes

1 assignment Total 10 minutes

Introduction to Cloud Computing and App Engine Basics 10 minutes

In this section, we implement user authentication, store data in Google Cloud Datastore, and generate HTML pages using templates.

What's included

1 video4 readings1 assignment

In this section, we explore uploading, storing, and serving large files using Google Cloud Storage, along with processing long tasks via task queues for efficient application performance.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

Storing and Processing Learners' Data - Overview Video 1 minute

7 readings Total 120 minutes

Introduction 10 minutes
Adding a Form to Upload Images 15 minutes
Serving Files from Cloud Storage 10 minutes
Serving Images 30 minutes
Transforming Images with the Images Service 15 minutes
Processing Long Jobs with the Task Queue 20 minutes
Sending Notification E-mails 20 minutes

1 assignment Total 10 minutes

Data Management and Cloud Storage Practices 10 minutes

In this section, we explore optimizing application performance using Datastore queries, Memcache for transient data, and the Modules service for application structure.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Improving Application Performance - Overview Video 1 minute

6 readings Total 90 minutes

Introduction 20 minutes
More on Queries Save Space with Projections and Optimize Iterations with Mapping 10 minutes
NDB Asynchronous Operations 15 minutes
Backup and Restore Functionalities 10 minutes
Using Memcache 15 minutes
Breaking Our Application Into Modules 20 minutes

1 assignment Total 10 minutes

Performance Optimization Techniques 10 minutes

In this section, we create and configure a Cloud SQL instance, connect it to App Engine, and use it from external applications for scalable data storage solutions.

What's included

1 video4 readings1 assignment

In this section, we explore real-time communication using the Channel API, covering server-client implementation, message delivery, and handling disconnections for efficient web interactions.

What's included

1 video3 readings1 assignment

In this section, we configure a Django development environment, implement Cloud SQL with the ORM, and upload files to Google Cloud Storage for scalable web application development.

What's included

1 video8 readings1 assignment

1 video Total 1 minute

Building an Application with Django - Overview Video 1 minute

8 readings Total 105 minutes

Introduction 15 minutes
Installing Dependencies 10 minutes
Using Google Cloud SQL as a Database Backend 20 minutes
Views and Templates 15 minutes
Authenticating Users with Django 10 minutes
Using the ORM and Migrations System 10 minutes
Processing Forms with the Forms API 10 minutes
Uploading Files to Google Cloud Storage 15 minutes

1 assignment Total 10 minutes

Django Application Development Fundamentals 10 minutes

In this section, we explore implementing a REST API for a Notes application using Google Cloud Endpoints. Key concepts include designing resource representations, protecting endpoints with OAuth2, and decoupling frontend and backend for scalability.