This tutorial is designed to be run via GitHub codespaces. If you do not have a GitHub account, please create one before the tutorial (https://github.com/join). Other than that, just bring yourself and a laptop with a web browser, and everything else should be good to go!
First, create a codespace for the repository. Click the <> Code button, then click the Codespaces tab. Select Create codespace on main. Once created, select Open in browser.
Kedro is an open-source Python framework for creating reproducible, maintainable, and modular data science and engineering code. It is an incubation-stage project of the LF AI & Data Foundation. To learn more about Kedro, visit the Kedro website and join our community on Slack.
Ibis is an open-source Python dataframe library that works with any data system. Visit the Ibis project website to learn more, or join our community on Zulip.
This tutorial also uses IbisML, a new library for building scalable ML pipelines using Ibis. More information about IbisML can be found on the IbisML website. There is a dedicated IbisML stream on Zulip.