Talk Python to Me: #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. <br/> <br/> 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. <br/> <br/> 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.<br/> <br/> <strong>Links from the show</strong><br/> <br/> <div><b>Waylong on Twitter</b>: <a href="https://twitter.com/_WaylonWalker" target="_blank" rel="noopener">@_WaylonWalker</a><br/> <b>Yetunda on Twitter</b>: <a href="https://twitter.com/yetudada" target="_blank" rel="noopener">@yetudada</a><br/> <b>Ivan on Twitter</b>: <a href="https://twitter.com/ivandanov" target="_blank" rel="noopener">@ivandanov</a><br/> <br/> <b>Kedro</b>: <a href="https://ift.tt/3lqqdZy" target="_blank" rel="noopener">kedro.readthedocs.io</a><br/> <b>Kedro on GitHub</b>: <a href="https://ift.tt/2xdBYbQ" target="_blank" rel="noopener">github.com</a><br/> <b>Join the Kedro Discord</b>: <a href="https://ift.tt/3uTZM1y" target="_blank" rel="noopener">discord.gg</a><br/> <br/> <b>Articles about Kedro by Waylan</b>: <a href="https://ift.tt/3uVxxPU" target="_blank" rel="noopener">waylonwalker.com</a><br/> <b>Kedro spaceflights tutorial</b>: <a href="https://ift.tt/2YwzBSV" target="_blank" rel="noopener">kedro.readthedocs.io</a><br/> <b>“Hello World” on Kedro</b>: <a href="https://ift.tt/3v4sdKb" target="_blank" rel="noopener">kedro.readthedocs.io</a><br/> <b>Kedro Viz</b>: <a href="https://ift.tt/3Aw5Qym" target="_blank" rel="noopener">quantumblacklabs.github.io</a><br/> <b>Spaceflights Tutorial video</b>: <a href="https://www.youtube.com/watch?v=fTPAWzzWrOY" target="_blank" rel="noopener">youtube.com</a><br/> <b>Dynaconf package</b>: <a href="https://ift.tt/2YIKDUW" target="_blank" rel="noopener">dynaconf.com</a><br/> <b>fsspec: Filesystem interfaces for Python</b>: <a href="https://ift.tt/2M47gt9" target="_blank" rel="noopener">filesystem-spec.readthedocs.io</a><br/> <b>Neovim</b>: <a href="https://neovim.io/" target="_blank" rel="noopener">neovim.io</a><br/> <b>Watch this episode on YouTube</b>: <a href="https://www.youtube.com/watch?v=WTcjvwkXoY0" target="_blank" rel="noopener">youtube.com</a><br/> <b>Episode transcripts</b>: <a href="https://ift.tt/3mCS1JJ" target="_blank" rel="noopener">talkpython.fm</a><br/> <br/> <b>---------- Stay in touch with us ----------</b><br/> <b>Subscribe on YouTube (for live streams)</b>: <a href="https://ift.tt/3DznvIg" target="_blank" rel="noopener">youtube.com</a><br/> <b>Follow Talk Python on Twitter</b>: <a href="https://twitter.com/talkpython" target="_blank" rel="noopener">@talkpython</a><br/> <b>Follow Michael on Twitter</b>: <a href="https://twitter.com/mkennedy" target="_blank" rel="noopener">@mkennedy</a><br/></div><br/> <strong>Sponsors</strong><br/> <a href='https://ift.tt/3FthsG6> <a href='https://ift.tt/2PVc9qH Python Training</a><br> <a href='https://ift.tt/3x0z72P>

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