https://github.com/ibis-project/kedro-ibis-tutorial
https://github.com/ibis-project/kedro-ibis-tutorial
Last synced: 7 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/ibis-project/kedro-ibis-tutorial
- Owner: ibis-project
- Created: 2024-06-11T17:10:11.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-06T17:01:53.000Z (over 1 year ago)
- Last Synced: 2025-06-18T11:55:20.416Z (7 months ago)
- Language: Jupyter Notebook
- Size: 1.84 MB
- Stars: 10
- Watchers: 3
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Kedro-Ibis Tutorial
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!
## Codespace setup
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**.
## References
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](https://kedro.org/) and [join our community on Slack](https://slack.kedro.org/).
Ibis is an open-source Python dataframe library that works with any data system. Visit the [Ibis project website](https://ibis-project.org/) to learn more, or [join our community on Zulip](https://ibis-project.zulipchat.com/).
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](https://ibis-project.github.io/ibis-ml/). There is a [dedicated IbisML stream on Zulip](https://ibis-project.zulipchat.com/#narrow/stream/426262-ibis-ml).