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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

Introducing the different types of tests in software development

All of us developers love to write code and build systems and applications. All of us hate attending meetings. Another thing most developers hate is writing tests. We all have been there. When I started my career, and whenever I was asked by my senior/mentor to write test cases for code, I would dread the thought. It would take almost double the time to write test cases for the code than it took to build the feature.

But tests are a necessary evil, and now that I am a senior engineer building dozens of scalable systems, I always prefer to write tests for any project I work on. This gives me the confidence to ship my code to production without the fear of breaking the existing system, and this helps in the faster shipping of features.

When we build new features, we always test the code manually. For example, if I had to write code to find out whether a number is prime or not, I would write the code and then pass...

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