Welcome to the FastAPI tutorial! 🚀
FastAPI is a high-performance web framework for building APIs with Python 3.7+ based on Starlette and Pydantic. It's designed to be fast, easy to use, and highly scalable.

🧩 Why Choose FastAPI?

  • Speed: Asynchronous capabilities for handling thousands of requests per second
  • Type Hints: Built-in support for Python type annotations
  • Automatic Docs: Real-time interactive documentation via Swagger and ReDoc
  • Dependency Injection: Clean way to manage reusable components
FastAPI Logo

📚 Quick Start Guide

  1. Install FastAPI 

    pip install fastapi

  2. Create a Basic App 

    from fastapi import FastAPI  
app = FastAPI()

@app.get("/")  
def read_root():  
    return {"Hello": "World"}

  3. Run the Server 

    uvicorn main:app --reload

    Visit http://localhost:8000/docs to explore the auto-generated API docs ✅

🔧 Core Features

  • Route Definitions 

    @app.get("/items/{item_id}")  
def get_item(item_id: int):  
    return {"item_id": item_id}

  • Request Validation 

    from pydantic import BaseModel  
class Item(BaseModel):  
    name: str  
    price: float

  • Async Support 

    @app.get("/async")  
async def async_route():  
    return {"message": "This is async!"}
Async Processing

📌 Best Practices

  • Use Depends for reusable logic
  • Leverage BackgroundTasks for async operations
  • Validate data with Pydantic models
  • Enable OpenAPI documentation via app.openapi()

📚 Expand Your Knowledge

For deeper insights into Python web development:
Explore AsyncIO tutorials
Compare with Django

Dependency Injection

📝 Common Questions

  • How to deploy FastAPI?
    Use Uvicorn or Gunicorn with Nginx for production.

  • Is FastAPI suitable for microservices?
    Absolutely! Its lightweight design makes it perfect for microservices architectures.

Swagger UI

Happy coding! 🌟 Let me know if you need help with specific features.