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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

Performing queries

Performing queries using the Django shell will give us some insight into how queries work. In the following subsections, we will discuss some common methods that are used.

Model method – all()

The all() method returns all records found in the table for that model object. This method will return a QuerySet in the following format, representing all entries that it finds:

(virtual_env) PS > python3 manage.py shell
>>> from becoming_a_django_entdev.chapter_3.models import Engine, Seller, Vehicle, VehicleModel 
>>> VehicleModel.objects.all()
<QuerySet [<VehicleModel: Blazer LT>, <VehicleModel: Enclave Avenir>, <VehicleModel: Envision Avenir>]> 

The chapter_3 data fixture only provides three VehicleModel and that is why a collection of only three objects is returned to us. Your results may vary. One of the reasons why we created a __str__() method, as was done earlier in this chapter, in the subsection titled...

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