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Django in Production

Django in Production

By : Arghya Saha
4.7 (9)
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Django in Production

Django in Production

4.7 (9)
By: Arghya Saha

Overview of this book

You may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play. This book will first delve into the true meaning of "good practice" and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices. By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.
Table of Contents (21 chapters)
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1
Part 1 – Using Django and DRF to Build Modern Web Application
7
Part 2 – Using the Advanced Concepts of Django
13
Part 3 – Dockerizing and Setting Up a CI Pipeline for Django Application
16
Part 4 – Deploying and Monitoring Django Applications in Production

Exploring best practices for working with models and ORM

Django’s official documentation is a very detailed guide on how to work with models and ORM, and it helps you write complicated queries using ORM. But when you create real-world applications, it is more than just writing good queries; there is a lot of nitty-gritty that you should know or get to know after making mistakes yourself. In this section, we are going to learn about all those small tricks that can help us work better with Django models and ORM.

Use base models

Abstract base models are one of the most preferred model inheritances in Django. We should create common base models whenever we find duplicates of the model attributes. One of the most useful base models that I have found is TimeStampedBaseModel, which has created_at and updated_at fields. Using this base model to create any model will automatically add the created at and updated at timestamp field; for example, whenever someone creates a DemoModel...

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