#337: Kedro for Maintainable Data Science

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 9 October 2021

⏱️ 63 minutes

🔗️ Recording | iTunes | RSS

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Summary

Have you heard of Kedro? It's a Python framework for creating reproducible, maintainable and modular data science code. We all know that reproducibility and related topics are important ones in the data science space. The freedom to pop open a notebook and just start exploring is much of the magic. Yet, that free-form style can lead to difficulties in versioning, reproducibility, collaboration, and moving to production. Solving these problems is the goal of Kedro. And we have 3 great guests from the Kedro community here to give us the rundown: Yetunde Dada, Waylon Walker, and Ivan Danov.

Transcript

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0:00.0	Have you heard of Kedro? It's a Python framework for creating reproducible, maintainable, and modular
0:04.7	data science code. We all know that reproducibility and related topics are important ones in the
0:10.0	data science space. The freedom to pop open a notebook and just start exploring is much of the magic.
0:15.7	Yet, that freeform style can lead to difficulties in versioning, reproducibility, collaboration,
0:20.8	and moving to
0:21.8	production. Solving these challenges is the goal of Kedro. And we have three great guests from the
0:26.5	Kedro community here to give us the rundown, Yatunda Dada, Waylon Walker, and even Donov.
0:32.1	This is Talk Python, Episode 337, recorded October 1st, 2021.
0:50.3	Music Episode 337 recorded October 1st, 2021. Welcome to Talk Python, a weekly podcast on Python.
0:53.8	This is your host, Michael Kennedy. Follow me on
0:56.2	Twitter where I'm at M.Kennedy and keep up with a show and listen to past episodes at talk
1:00.5	python.fm. And follow the show on Twitter via at Talk Python. We've started streaming most of our
1:06.5	episodes live on YouTube. Subscribe to our YouTube channel over at TalkPython.fm slash YouTube to get notified
1:12.8	about upcoming shows and be part of that episode. This episode is brought to you by Tab 9,
1:18.9	the editor plug-in that enhances your autocomplete by learning how you write code, us over at Talk
1:24.6	Python training with our courses, and the transcripts are brought to you by Assembly
1:29.0	AI.
1:30.5	You tuned to Ivan and Waylon. Welcome to Talk Python.
1:33.6	Thank you so much for having us.
1:35.1	Yeah, thank you for inviting us.
1:36.5	Yes, thank you.
1:37.2	Yeah, it's fantastic to have you all here.
	...

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