Book Image

Django Design Patterns and Best Practices - Second Edition

By : Arun Ravindran
Book Image

Django Design Patterns and Best Practices - Second Edition

By: Arun Ravindran

Overview of this book

Building secure and maintainable web applications requires comprehensive knowledge. The second edition of this book not only sheds light on Django, but also encapsulates years of experience in the form of design patterns and best practices. Rather than sticking to GoF design patterns, the book looks at higher-level patterns. Using the latest version of Django and Python, you’ll learn about Channels and asyncio while building a solid conceptual background. The book compares design choices to help you make everyday decisions faster in a rapidly changing environment. You’ll first learn about various architectural patterns, many of which are used to build Django. You’ll start with building a fun superhero project by gathering the requirements, creating mockups, and setting up the project. Through project-guided examples, you’ll explore the Model, View, templates, workflows, and code reusability techniques. In addition to this, you’ll learn practical Python coding techniques in Django that’ll enable you to tackle problems related to complex topics such as legacy coding, data modeling, and code reusability. You’ll discover API design principles and best practices, and understand the need for asynchronous workflows. During this journey, you’ll study popular Python code testing techniques in Django, various web security threats and their countermeasures, and the monitoring and performance of your application.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
PacktPub.com
Contributors
Preface
Index

Asynchronous solutions for Django


The rest of this chapter will cover the following popular asynchronous systems used with Django, with somewhat different use cases. They are as listed as follows:

  • Celery: Worker threads-based model for handling computation outside the Django process
  • asyncio: Python built-in module for concurrently executing multiple tasks within the same thread
  • Django Channels: Real-time message queue-like architecture to manage I/O events such as WebSockets

Let's first understand the most popular and robust solution for running tasks asynchronously: Celery.

Working with Celery

Celery is a feature-rich asynchronous task queue manager. Here, a task refers to a callable that, when executed, will perform the activity asynchronously. Celery is used in production by several well-known organizations including Instagram and Mozilla, for handling millions of tasks a day.

While installing Celery, you will need to pick and choose various components such as a broker and result store. If you...