Automating Data Pipelines with Python & GitHub Actions [Code Walkthrough]

[@ShawhinTalebi]

More on Full Stack Data Science 👇 👉Series Playlist: kzbin.info/aero/PLz-ep5RbHosWmAt-AMK0MBgh3GeSvbCmL 💻Example Code: github.com/ShawhinT/data-pipeline-example

[@skyrayzor3693]

This is type of content every beginner data scientist should watch. This series is great.

[@ShawhinTalebi]

Thanks, glad you enjoyed it :)

[@vamshikrishna3959]

agree totally, any other similar useful sources?

[@brunosompreee]

I read the Medium post first, but this is great! Thanks for sharing 🙌🏼 Remember that Python uses snake case for naming functions 😉

[@ShawhinTalebi]

I always get the conventions messed up, but I suppose it should be easy to remember 🐍

[@coolworship6704]

Thanks so much for going the extra mile to address my question

[@ShawhinTalebi]

Thanks for your question! I learned a lot in going that extra mile, so happy to do it. Hope it's helpful :)

[@mutumjagat]

Please do a video of automatically deploy in aws (or any cloud) after the data pipelines is done

[@ShawhinTalebi]

Thanks for the great suggestion! In the meantime, I discuss how to do this with GCP here: towardsdatascience.com/how-to-deploy-ml-solutions-with-fastapi-docker-and-gcp-de1bb8bfc59a?sk=5048e53b3599a37a126379514328e2e3

[@notterboutuyer2781]

welcome tab was really bugging me. thanks for closing :)

[@AayushJariwala-j4n]

Now automate these processes!! jk 😅 Awesome video