Book Image

Building Django 2.0 Web Applications

By : Tom Aratyn
Book Image

Building Django 2.0 Web Applications

By: Tom Aratyn

Overview of this book

<p>This project-based guide will give you a sound understanding of Django 2.0 through three full-featured applications. It starts off by building a basic IMDB clone and adding users who can register, vote on their favorite movies, and upload associated pictures. You will learn how to use the votes that your users have cast to build a list of the top 10 movies. This book will also take you through deploying your app into a production environment using Docker containers hosted on the server in Amazon's Electric Computing Cloud (EC2). </p><p> </p><p>Next, you're going to build a Stack Overflow clone wherein registered users can ask and answer questions. You will learn how to enable a user asking a question to accept answers and mark them as useful. You will also learn how to add search functionality to help users find questions by using ElasticSearch. You'll discover ways to apply the principles of 12 factor apps while deploying Django on the most popular web server, Apache, with mod_wsgi. Lastly, you'll build a clone of MailChimp so users can send and create emails, and deploy it using AWS. </p><p> </p><p>Get set to take your basic Python skills to the next level with this comprehensive guide! </p><p></p>
Table of Contents (19 chapters)
Title Page
www.packtpub.com
Contributors
Preface
Index

Summary


In this chapter, we gave Mail Ape the ability to send emails to our users'MailingList's confirmed Subscribers. We also learned how to use Celery to process tasks outside of Django's request/response cycle. This lets us process tasks that may take a long time or require other resources (for example, SMTP servers and more memory) without slowing down our Django web servers.

We covered a variety of email and Celery-related topics in this chapter. We saw how to configure Django to use an SMTP server. We used Django's send_email() function to send emails. We created a Celery task with the @shared_task decorator. We queued a Celery task using its delay() method. Finally, we explored some useful approaches for testing code that relies on external resources.

Next, let's build an API for our Mail Ape so that our users can integrate into their own websites and apps.