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

Structural patterns


This section contains several design patterns that can help you design and structure your models. Structural patterns mentioned here would help you realize the relationships between models more effectively.

Patterns — normalized models

Problem: By design, model instances have duplicated data that causes data inconsistencies.

Solution: Break down your models into smaller models through normalization. Connect these models with logical relationships between them.

Problem details

Imagine if someone designed our post table (omitting certain columns) in the following way:

Superhero Name

Message

Posted on

Captain Temper

Has this posted yet?

2012/07/07 07:15

Professor English

It should be Is not Has.

2012/07/07 07:17

Captain Temper

Has this posted yet?

2012/07/07 07:18

Capt. Temper

Has this posted yet?

2012/07/07 07:19

I hope you noticed the inconsistent superhero names in the first column (and captain's consistent lack of patience).

If we were to look at the first column, we are not sure which spelling...