From Newsgroup: comp.lang.python.announce

Hi all,

It fills us with astronomical joy to announce the release of Kedro 0.18.11! 🔶

Kedro is an open source, orchestrator-agnostic Python framework for creating reproducible, maintainable and modular data science code. It reduces technical debt when moving prototypes into production by providing a declarative data catalog, a solid project template, plumbing for creating data pipelines, and more. It features a rich ecosystem of plugins and third-party datasets and is currently an incubation-stage project of the LF AI & Data Foundation.

You can install it using pip or conda/[micro]mamba:

```
pip install kedro==0.18.11
conda/[micro]mamba install kedro=0.18.11 --channel conda-forge
```

In this release, we added added a new `databricks-iris` official starter and significantly improved the documentation around Databricks deployments. We also fixed some bugs around micropackaging and remote datasets, updated the documentation for Prefect 2.0, and deprecated some class names.

You can read the full release notes online:

https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-01811

If you want to know more, you can watch our recent workshop “Refactor your Jupyter notebooks using Kedro ” on YouTube:

https://youtu.be/qClSGY6B0r0

Follow us on the Fediverse and join our community in Slack:

https://social.lfx.dev/@kedro
https://slack.kedro.org/

Happy pipelining!

--
Cano Rodríguez, Juan Luis
Principal Product Manager & Lead Developer Advocate
QuantumBlack, AI by McKinsey
Pronouns: he/him/his
M +34 686 75 72 97


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