Sample project showing reliable data ingestion application using FastAPI and dramatiq

Overview

Create and deploy a reliable data ingestion service with FastAPI, SQLModel and Dramatiq

This is the source code for the data ingestion service explained in this blog post.

Read the blog post

Working demo

Go further with Building Data Science Applications with FastAPI

Building Data Science Applications with FastAPI

Develop, manage, and deploy efficient machine learning applications with Python

What is this book about?

This book covers the following exciting features:

  • Explore the basics of modern Python and async I/O programming
  • Get to grips with basic and advanced concepts of the FastAPI framework
  • Implement a FastAPI dependency to efficiently run a machine learning model
  • Integrate a simple face detection algorithm in a FastAPI backend
  • Integrate common Python data science libraries in a web backend
  • Deploy a performant and reliable web backend for a data science application

If you feel this book is for you, get your copy today!

License

MIT

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Comments
  • Example .env file

    Example .env file

    From your video and repo where is no example of the .env file to run this code. It would be nice to have an example.env since .env is on .gitignore. Something like:

    example.env

    key1=somevalue
    key2=42
    
    opened by staticdev 0
  • How to test fastapi-dramatiq-data-ingestion

    How to test fastapi-dramatiq-data-ingestion

    First congratulations for this demo and repo. It would be really a great addition if we also had tests for it, so people can create testable apps with fastapi-dramatiq.

    This issue is just a suggestion/improvement. Feel free to put your thoughts here.

    opened by staticdev 0
Owner
François Voron
Freelance developer | Python enthusiast 🐍 | Author of "Building Data Science Applications with FastAPI" available at Amazon ➡ https://amzn.to/3kTvgjG
François Voron
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