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Becoming an Enterprise Django Developer

Becoming an Enterprise Django Developer

By : Dinder, Michael Dinder
4.2 (9)
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Becoming an Enterprise Django Developer

Becoming an Enterprise Django Developer

4.2 (9)
By: Dinder, 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)
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1
Part 1 – Starting a Project
5
Part 2 – Django Components
10
Part 3 – Advanced Django Components

Summary

We were able to conclude our journey in how to use Django to build enterprise-level systems by learning how to import and export data and apply performance-boosting tricks to all query operations. Knowing how to work with data is just as important as building the data siloes that they reside in. When you are working with existing systems, there is always the need to export the existing data from an old system and import that data into your new system. We now know how that is done. We can also combine this knowledge with the skills learned in Chapter 2, Project Configuration, in the subsection titled Heroku database push/pull operations to work with data in your remote testing and production environments as well. Use each tool as needed to perform different tasks throughout your project's life cycle.

The performance-boosting methods that were introduced in this chapter are intended to be applied to any query operation. Refer to the topics discussed throughout Chapter...

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