Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

#337: Kedro for Maintainable Data Science

October 09, 2021 01:03:14 38.67 MB Downloads: 0
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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