Django Analytical

Abstract

1. Introduction

The django-analytical application integrates analytics services into a Django_ project.

Using an analytics service with a Django project means adding JavaScript tracking code to the project templates. Of course, every service has its own specific installation instructions. Furthermore, you need to include your unique identifiers, which then end up in the templates. Not very nice.

This application hides the details of the different analytics services behind a generic interface, and keeps personal information and configuration out of the templates. Its goal is to make the basic set-up very simple, while allowing advanced users to customize tracking. Each service is set up as recommended by the services themselves, using an asynchronous version of the JavaScript code if possible.

2. Objective

Analytics services for Django projects

This project demonstrates how Python, Django can be applied to a real-world Full Stack Web Development problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/jazzband/django-analytical.git
cd django-analytical

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add role-based access control
• Deploy on a VPS or cPanel hosting with a custom domain
• Add automated tests and a CI pipeline

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Explain the frontend, backend and database layers of this application.
2. How is user authentication and authorisation implemented?
3. Describe the main database tables / collections and their relationships.
4. Which REST APIs or routes are exposed and what do they return?
5. How would you deploy this application to production?

9. Source Code & License

This project is developed by jazzband and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.