Online Shop

Online Shop is an e-commerce web application built with Django, offering users a seamless shopping experience. This project incorporates various features and technologies to facilitate product browsing, purchasing, and management.

Features

• User Authentication and Authorization: Users can create accounts, log in, and securely access features like order placement and profile management.

• Product Browsing and Search: Browse products by categories and use a robust search feature to find items quickly.

• Shopping Cart Management: Add, remove, and adjust quantities of products in the shopping cart.

• Streamlined Checkout Process: Guided steps for entering shipping details, selecting payment methods, and reviewing orders.

• Asynchronous Task Processing: Celery handles tasks like sending order confirmation emails without impacting application responsiveness.

• Caching for Performance: Redis caches frequently accessed data to improve performance and reduce database load.

• Responsive Design: Ensures a consistent user experience across devices.

List of technologies, frameworks, libraries, and tools Used

• Python: High-level programming language known for its simplicity and versatility.

• Django: Web framework for rapid development of secure and maintainable websites.

• Django Rest Framework: Toolkit for building Web APIs quickly and efficiently.

• python-decouple: Library for separating settings from code for better configuration management.

• Pillow: Python Imaging Library for image processing tasks.

• Django-Jazzmin: Customizable admin panel for Django projects.

• Psycopg2-Binary: PostgreSQL adapter for Python.

• Pytz: Library for working with time zones in Python.

• Selenium: Browser automation framework for web application testing.

• Isort: Python import sorter for organizing import statements.

• Ruff: Tool for fixing linting errors in Python code.

• Pre-Commit: Framework for managing pre-commit hooks in Git repositories.

• Docker: Containerization platform for packaging and deploying applications.

• Redis: In-memory data structure store commonly used for caching and message queuing.

• Celery: Distributed task queue for asynchronous task processing in web applications.

• Tailwind CSS: Utility-first CSS framework for building responsive and customizable user interfaces.

• AJAX Fetch: Technique for making asynchronous HTTP requests from web pages using JavaScript.

Entity-Relationship Diagram for Online Shop

Setup

Prerequisites

• Python (version >= 3.6)
• Django (version >= 3.0)
• Django Rest Framework (version >= 3.0)
• python-decouple (version >= 3.8)
• pillow (version >= 10.3.0)
• django-jazzmin (version >= 2.6.1)
• psycopg2-binary (version >= 2.9.9)
• pytz (version >= 2024.1)
• selenium (version >= 4.19.0)
• isort (version >= 5.13.2)
• ruff (version >= 0.3.7)
• pre-commit (version >= 3.7.0)

Installation and Usage

1. Clone the Repository:

   git clone https://github.com/pedramkarimii/Online-Shop.git
   

2. Navigate to the Project Directory:

   cd Online-Shop
   

3. Install Dependencies:

   pip install -r requirements.txt
   

4. Set Up Django Environment:

   . utility/cleaner.sh
   

5. Start the Development Server:

   python manage.py runserver
   

6. Access the Application:

   Visit http://127.0.0.1:8000/ in your web browser.

How to Fork the Project

To fork the Tiny Instagram project and contribute to it:

1. Fork the Repository: Click the "Fork" button at the top right of the GitHub repository page to create a copy of the project in your GitHub account.
2. Clone Your Forked Repository: Clone your forked repository to your local machine using Git.
3. Make Changes and Improvements: Make changes and improvements to the project as needed, such as adding new features, fixing bugs, or enhancing documentation.
4. Commit and Push Changes: Commit your changes to your forked repository and push them to GitHub.
5. Create a Pull Request: Create a pull request to propose your changes and merge them into the main repository.

Contributors

• Pedram Karimi (@pedramkarimii) - Owner

License

This project is licensed under the MIT License - see the LICENSE file for details.