#337: Kedro for Maintainable Data Science

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.

Links from the show

Waylong on Twitter: @_WaylonWalker
Yetunda on Twitter: @yetudada
Ivan on Twitter: @ivandanov

Kedro: kedro.readthedocs.io
Kedro on GitHub: github.com
Join the Kedro Discord: discord.gg

Articles about Kedro by Waylan: waylonwalker.com
Kedro spaceflights tutorial: kedro.readthedocs.io
“Hello World” on Kedro: kedro.readthedocs.io
Kedro Viz: quantumblacklabs.github.io
Spaceflights Tutorial video: youtube.com
Dynaconf package: dynaconf.com
fsspec: Filesystem interfaces for Python: filesystem-spec.readthedocs.io
Neovim: neovim.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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