Book Image

Becoming an Enterprise Django Developer

By : Michael Dinder
Book Image

Becoming an Enterprise Django Developer

By: Michael Dinder

Overview of this book

Django is a powerful framework but choosing the right add-ons that match the scale and scope of your enterprise projects can be tricky. This book will help you explore the multifarious options available for enterprise Django development. Countless organizations are already using Django and more migrating to it, unleashing the power of Python with many different packages and dependencies, including AI technologies. This practical guide will help you understand practices, blueprints, and design decisions to put Django to work the way you want it to. You’ll learn various ways in which data can be rendered onto a page and discover the power of Django for large-scale production applications. Starting with the basics of getting an enterprise project up and running, you'll get to grips with maintaining the project throughout its lifecycle while learning what the Django application lifecycle is. By the end of this book, you'll have learned how to build and deploy a Django project to the web and implement various components into the site.
Table of Contents (15 chapters)
1
Part 1 – Starting a Project
5
Part 2 – Django Components
10
Part 3 – Advanced Django Components

Summary

By now, we have developed a solid understanding of how automated testing in Django is performed. We wrote several test cases that test many of the exercises done in previous chapters. We practiced writing test cases that simulate success and others that deliberately trigger a failure to better understand what is happening. We even discovered how to write test cases that work with the Django REST framework. After we worked with automated testing, we then installed what I would consider the most powerful tool of them all, the DjDT. The DjDT is used for real-time debugging of developers' code as they write that code and run their projects locally.

In the next chapter, we will learn how to use the DjDT to monitor performance as we learn how to optimize database queries.