Fwd: [Python-announce] [Release] Kedro 0.18.8 🔶

[Mark Mikofski]

Huzzah! Another ML framework!

Sent from my iPhone

Begin forwarded message:

From: Juan Luis Cano via Python-announce-list <python-ann...@python.org>
Date: May 4, 2023 at 11:07:46 AM PDT
To: python-ann...@python.org
Cc: Juan Luis Cano <Juan_Lu...@mckinsey.com>
Subject: [Python-announce] [Release] Kedro 0.18.8 🔶
Reply-To: pytho...@python.org

Hi all,

It fills us with astronomical joy to announce the release of Kedro 0.18.8! 🔶

Kedro is an open source, opinionated 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
conda/[micro]mamba install kedro --channel conda-forge
```

This release brought support for a new `KEDRO_LOGGING_CONFIG` environment variable to configure logging, better reproducibility for `kedro run`, lots of documentation improvements, and much more. For existing users, note that `kedro.extras.datasets` is deprecated in favor of the separate `kedro_datasets` package.

You can read the full release notes online:

https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-0188

If you want to know more, you can subscribe to our YouTube channel, follow us on the Fediverse or join our community in Slack:

https://youtube.com/@kedro-python
https://social.lfx.dev/@kedro
https://slack.kedro.org/

Happy pipelining!

--
Cano Rodríguez, Juan Luis
Developer Advocate at QuantumBlack Labs
Pronouns: he/him/his
McKinsey & Company
M +34 686 75 72 97


+=============================================================+
This email is confidential and may be privileged. If you have received
it in error, please notify us immediately, delete the email, and do not
copy it, disclose its contents or use it for any purpose.
+=============================================================+
_______________________________________________
Python-announce-list mailing list -- python-ann...@python.org
To unsubscribe send an email to python-announ...@python.org
https://mail.python.org/mailman3/lists/python-announce-list.python.org/
Member address: miko...@berkeley.edu