Fastapi Tutorial | Pdf

Background tasks:

from fastapi import BackgroundTasks
def send_email(email: str, message: str):
# Simulate slow operation
print(f"Sending to email: message")
@app.post("/notify/")
def notify(email: str, background_tasks: BackgroundTasks):
background_tasks.add_task(send_email, email, "Welcome!")
return "message": "Notification sent in background"

File upload:

from fastapi import File, UploadFile
@app.post("/upload/")
async def upload_file(file: UploadFile = File(...)):
contents = await file.read()
# Save or process contents
return "filename": file.filename, "size": len(contents)

@app.get("/search/")
def search(q: str, limit: int = 10, sort: str = "asc"):
    return "query": q, "limit": limit, "sort": sort

URL example: /search/?q=fastapi&limit=5&sort=desc

Two advanced features that set FastAPI apart.

Using Gunicorn + Uvicorn workers:

gunicorn main:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000

Dockerfile:

FROM python:3.11
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

Environment variables:

import os
DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./default.db")

Cloud platforms: Render, Railway, Fly.io, AWS (Lambda with Mangum), Google Cloud Run. fastapi tutorial pdf

Before you hit "download," it is crucial to understand that FastAPI evolves quickly. A PDF from 2021 might use app.add_middleware differently than modern versions (0.100+). Always check the publication date.

Title: FastAPI Tutorial PDF – Clear, Concise, but Could Be Deeper

Review:
I recently downloaded a “FastAPI Tutorial PDF” to get up to speed with the framework, and overall, it’s a solid resource — especially for beginners or intermediate developers.

Pros:

Cons:

Verdict:
✔ Great for: Learning basics, quick reference, offline study.
✘ Not for: Deep production patterns or real-time testing. File upload: from fastapi import File, UploadFile @app

Recommendation:
Pair this PDF with the official FastAPI docs (which are excellent) and a short video series. If you find a PDF that includes JWT auth, SQLAlchemy integration, and testing with pytest, grab it immediately — those are rare gems.

For operations you don’t want to block the response (e.g., sending emails).

from fastapi import BackgroundTasks
def write_log(message: str):
with open("log.txt", "a") as f:
f.write(f"message\n")
@app.post("/send-notification/")
async def send_notification(background_tasks: BackgroundTasks, email: str):
background_tasks.add_task(write_log, f"Notification sent to email")
return "message": "Notification will be sent in background"

| Concept | Code Snippet | |---------|---------------| | Basic app | app = FastAPI() | | GET | @app.get("/path") | | POST | @app.post("/path") | | Path param | def fn(item_id: int) | | Query param | def fn(q: str = None) | | Body | def fn(item: Item) | | Depends | def fn(db = Depends(get_db)) | | Exception | raise HTTPException(404, "msg") | | Response model | @app.get("/", response_model=Item) | | Docs URL | /docs or /redoc | email: str): background_tasks.add_task(write_log