Resume Project Overview

This repository provides a robust and scalable project template for building high-performance RESTful APIs using Python, FastAPI, and PostgreSQL. It is built upon a clean, modular architecture that separates concerns into distinct layers: API endpoints, business logic (CRUD operations), and data models. This structure provides a solid foundation for developing maintainable and scalable backend applications.

Key Features & Market Value

• High Performance: Leverages the full speed of FastAPI, one of the fastest Python web frameworks available, ensuring low latency and high throughput for your applications.
• Rapid Development: Designed to be intuitive and easy to code. Features like Pydantic data validation and automatic interactive API documentation (via Swagger UI) drastically reduce development time and time-to-market.
• Reliability & Data Integrity: Enforces strict data validation for all incoming and outgoing data through Pydantic schemas, minimizing bugs and ensuring data consistency.
• Scalable & Maintainable: The modular architecture makes it simple to add new features, troubleshoot issues, and onboard new developers. The clear separation of logic prevents code from becoming tangled as the project grows.
• Secure Database Interaction: Uses SQLAlchemy, a powerful and secure SQL toolkit that helps prevent common vulnerabilities like SQL injection.

Common Use Cases & Applications

This template is the ideal starting point for a wide range of backend services, including:

• E-commerce Platforms: Manage products, customers, orders, and inventory.
• Content Management Systems (CMS): Power blogs, websites, and documentation platforms.
• APIs for Mobile Apps: Provide a reliable backend for social networks, delivery services, fitness trackers, and more.
• SaaS Products: Build the core business logic for any Software-as-a-Service application.
• IoT Platforms: Ingest, process, and serve data from IoT devices and sensors.
• Internal Business Tools: Create systems for task management, scheduling, or data administration.

Install the required packages

python -m pip install -r requirements.txt

#If everything completes should be available on notes #Docs are generated on docs

Tests

Tests are available using pytest Run them using pytest . while in the root directory (/python-fastapi-postgresql-curd-example)

Documentation

Open API Documentation is provided by Redoc

Start the app using Uvicorn

uvicorn app.main:app --reload --workers 1 --host 0.0.0.0 --port 8000 or 'uvicorn app.main:app --reload'