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.

Related Content you might be interested in

Current Title:

Small book image
Becoming an Enterprise Django Developer
Michael Dinder
Jun, 2022 | 526 pages
Small book image
Web Development with Django
Chris Guest | Saurabh Badhwar | Ben Shaw | Bharath Chandra K S
May, 2023 | 764 pages
Small book image
Django 4 for the Impatient
Greg Lim | Daniel Correa
Jun, 2022 | 190 pages
Small book image
Django 2 Web Development Cookbook
Jake Kronika | Aidas Bendoraitis
Oct, 2018 | 544 pages
Table of Contents (15 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Code in Action
Download the color images
Conventions used
Get in touch
Share Your Thoughts
1
Part 1 – Starting a Project
Part 1 – Starting a Project
Free Chapter
2
Chapter 1: Undertaking a Colossal Project
Chapter 1: Undertaking a Colossal Project
Technical requirements
Building an enterprise
Designing and planning
Hosting and deployment
Summary
3
Chapter 2: Project Configuration
Chapter 2: Project Configuration
Technical requirements
Choosing development tools
Starting a project
Creating a virtual environment
Project configuration
Using basic database settings
Preparing PostgreSQL for Heroku
Summary
4
Chapter 3: Models, Relations, and Inheritance
Chapter 3: Models, Relations, and Inheritance
Technical requirements
Preparing for this chapter
Writing model classes
Working with model field relationships
Using the Meta subclass
Customizing models
Extending models
Using the Django shell
Performing queries
Writing model managers
Summary
5
Part 2 – Django Components
Part 2 – Django Components
6
Chapter 4: URLs, Views, and Templates
Chapter 4: URLs, Views, and Templates
Technical requirements
Preparing for this chapter
Configuring URL patterns
Mapping URL patterns
Resolving URLs
Resolving absolute URLs
Working with complex views
Working with templates
Summary
7
Chapter 5: Django Forms
Chapter 5: Django Forms
Technical requirements
Types of forms
Using form fields
Cleaning forms
Creating custom form fields
Working with form views
Rendering forms in templates
Linking a model to a form
Adding inline formsets
Summary
8
Chapter 6: Exploring the Django Admin Site
Chapter 6: Exploring the Django Admin Site
Technical requirements
Using the Django admin site
Configuring admin class options
Adding admin class methods
Writing custom admin form classes
Using the Django authentication system
Summary
9
Chapter 7: Working with Messages, Email Notifications, and PDF Reports
Chapter 7: Working with Messages, Email Notifications, and PDF Reports
Technical requirements
Preparing for this chapter
Using the Django messages framework
Configuring email notifications
Writing custom email templates
Generating PDF reports
Summary
10
Part 3 – Advanced Django Components
Part 3 – Advanced Django Components
11
Chapter 8: Working with the Django REST Framework
Chapter 8: Working with the Django REST Framework
Technical requirements
Preparing for this chapter
Serializing objects
Using the Browsable API
Building SPA-like pages
Writing custom API endpoints
Authenticating with tokens
Summary
12
Chapter 9: Django Testing
Chapter 9: Django Testing
Technical requirements
Preparing for this chapter
Understanding automated testing in Django
Getting started with unit testing
Testing HTTP view requests
Testing authenticated view requests
Testing Django REST API endpoints
Using the DjDT
Summary
13
Chapter 10: Database Management
Chapter 10: Database Management
Technical requirements
Preparing for this chapter
Exporting data into a data fixture
Importing data from a data fixture
Using the select_related() method
Using the prefetch_related() method
Using the Prefetch() class
Summary
Why subscribe?
14
Other Books You May Enjoy
Other Books You May Enjoy
Packt is searching for authors like you
Share Your Thoughts

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...

Previous Section
End of Section 10
Next Section