Skip to content

The back-end service of the project allows for the management of listings, realtors, and users through the ability to add, update, and remove them. For further information, please refer to the README.md file.

License

Notifications You must be signed in to change notification settings

iamalmiir/AR-Realty-Back-end

Repository files navigation

linkedin logo

  • Project Title: AR Realty App
  • Language: Python
  • Frameworks: Django, Resful Framework
  • Database: PostgreSQL
  • File storage: Cloudinary
  • Deployment: Digital Ocean

Description

As part of the AR Realty website, this is a back-end application that allows you to manage Django-powered websites through a web interface. You can achieve this by using the Django admin panel or sending HTTP requests to the API endpoints for specific actions. This app utilizes Cloudinary to fast and efficiently store media files for listings, realtors, users, and all other media related to the website.

Screenshots

Admin Panel Admin Panel 1 Admin Panel 2

Instalation

Please make sure to create your own .env file with all necessary credentials before you continue. 1 2

Create virtual environment:

python -m venv ./venv

Activate virtual environment:

source ./venv/bin/activate

Install all requirements:

pip install -r requirements.txt

Technologies used

  • Django

    • Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. Built by experienced developers, Django takes care of much of the hassle of web development. I highly encourage you to read more about Django.
  • Django REST framework

    • Lets you create RESTful APIs: A way to transfer information between an interface and a database in a simple way. DRF, as much as Django, makes everything simple and easier. Learn more here.
  • PostgreSQL

    • PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. Learn more here.
  • Digital Ocean

    • DigitalOcean is a cloud platform that provides developers cloud services that help to deploy and scale applications that run simultaneously on multiple computers. Learn more here.

Python Django DjangoREST Postgres DigitalOcean

Future development

  • In the future I aim to implement
    • Functionality for managing rental listings.
    • Image optimization when uploading
    • More security measures

Footnotes

  1. You can see .env.example file.

  2. Following commands are for Unix-like operating systems

About

The back-end service of the project allows for the management of listings, realtors, and users through the ability to add, update, and remove them. For further information, please refer to the README.md file.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages