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From Jupyter Pocket book to Manufacturing API in 30 Minutes (FastAPI + Render) | by Emma Yasenchak | Apr, 2026

Admin by Admin
April 29, 2026
Home Machine Learning
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Step 2: Create a FastAPI Venture (2 Minutes)

Open your terminal and run:

mkdir phone-api
cd phone-api
python -m venv venv
supply venv/bin/activate
pip set up fastapi uvicorn phonenumbers

Create primary.py and paste the code under:

from fastapi import FastAPI, Question
import phonenumbers

app = FastAPI(title="Telephone Validation API")
def validate_phone_logic(telephone: str) -> dict:
parsed = phonenumbers.parse(telephone, None)
is_valid = phonenumbers.is_valid_number(parsed)
return {"telephone": telephone, "legitimate": is_valid}
@app.get("/validate")
def validate(telephone: str = Question(..., description="Telephone with nation code")):
end result = validate_phone_logic(telephone)
return end result

Run it regionally:

uvicorn primary:app --reload

Check it:

curl "http://localhost:8000/validate?telephone=%2B14155552671"

That’s it — your mannequin is now an API.

Tags: APIAprEmmaFastAPIJupyterminutesNotebookProductionRenderYasenchak
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