A structured, hands-on journey through 10 backend projects, designed to progressively build and deepen API development skills using FastAPI, asynchronous programming, and modern Python backend tooling.
This repository documents a curated sequence of FastAPI projects developed to explore asynchronous web API design in a practical, incremental way.
Each project focuses on production-style backend architecture, and includes:
- Core CRUD and RESTful logic
- FastAPI testing with
TestClient,pytest, andhttpx.AsyncClient - Clean use of Pydantic models and validation
- Optional stretch goals for async integrations, caching, or external API use
Projects are structured to reflect real-world systems rather than isolated examples, with an emphasis on clean code, modular design, and deep mastery of FastAPI’s async capabilities.
| # | Project Name | Key Features | Stack |
|---|---|---|---|
| 1 | Mini Notes API | CRUD, body/query params, response models | FastAPI + Pydantic |
| 2 | Book Review API | Nested models, rating system, filtering reviews | FastAPI + Pydantic |
| 3 | Auth Demo API | JWT authentication, role checking, reusable dependencies | FastAPI + OAuth2/JWT |
| 4 | Background Tasks Service | Email simulation, async task execution | FastAPI + BackgroundTasks |
| 5 | Weather Proxy Microservice | Async fetch, external API call, response transformation | FastAPI + httpx |
| 6 | Async Blog API | Async DB with SQLModel, pagination, tag-based filtering | FastAPI + SQLModel |
| 7 | API Caching Layer | In-memory or Redis-based caching for performance | FastAPI + Redis |
| 8 | Task Queue Worker API | Background job queue with Celery + Redis | FastAPI + Celery + Redis |
| 9 | Rate-Limited News API | Async scraping, throttling, client headers | FastAPI + httpx + limits |
| 10 | Dockerized Production API | Full Docker setup, env configs, async logging | FastAPI + Uvicorn + Docker |
Each project resides in its own folder with documentation for setup, features, and testing.
- Python 3.12+
- FastAPI (Async Web Framework)
- Pydantic for validation and serialization
- JWT Authentication & OAuth2 flows
- SQLModel (async DB ORM)
- PostgreSQL / SQLite
httpxfor async external API calls- Redis and Celery (for background jobs and caching)
- Docker & Uvicorn for production setup
- Testing with
pytest,TestClient, andhttpx.AsyncClient - RESTful API Design and OpenAPI documentation
- Git and Modular Project Architecture
Project10X-FastAPI is designed as a deep learning track for mastering asynchronous API development in Python using FastAPI. It reflects a commitment to:
- Understanding async I/O and API design at a production level
- Testing and documenting APIs with clarity and completeness
- Applying FastAPI's full feature set: background tasks, external APIs, auth, caching, and deployment
Each project includes:
- Clear setup instructions and dependency requirements
- A list of core features and optional stretch goals
- Backend tests for routes and logic
- Examples of query, path, and body parameter usage
- Tools for async workflows and real-world API use cases
This repo is open for exploration, learning, and contribution. Forks, pull requests, and suggestions are welcome.
This repository is open source under the MIT License.
Created and maintained by RM Villa.