back to home

21-02-2022

Building Scalable Web Applications with Python and FastAPI

In my experience as a full-stack developer, building scalable web applications has always been a core focus. Python, coupled with FastAPI, has transformed the way I approach web development projects, especially those requiring high performance and rapid development cycles.

Why FastAPI?

Example Experience:

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import Optional

app = FastAPI()

# Define a data model
class Item(BaseModel):
    name: str
    description: Optional[str] = None
    price: float
    tax: Optional[float] = None

# Create an in-memory storage for items
items = {}

@app.post("/items/{item_id}")
async def create_item(item_id: int, item: Item):
    if item_id in items:
        raise HTTPException(status_code=400, detail="Item already exists")
    items[item_id] = item
    return item

@app.get("/items/{item_id}")
async def read_item(item_id: int):
    if item_id not in items:
        raise HTTPException(status_code=404, detail="Item not found")
    return items[item_id]

@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    if item_id not in items:
        raise HTTPException(status_code=404, detail="Item not found")
    items[item_id] = item
    return item

@app.delete("/items/{item_id}")
async def delete_item(item_id: int):
    if item_id not in items:
        raise HTTPException(status_code=404, detail="Item not found")
    del items[item_id]
    return {"message": "Item deleted"}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="127.0.0.1", port=8000)

FastAPI has empowered me to develop applications that are not only fast and reliable but also easy to maintain and scale. Whether it’s creating RESTful APIs or deploying complex microservices, Python and FastAPI have been the backbone of my web development projects.