Date: Fri, 01 Nov 2019 05:00:00 -0400
<p>In our season 2 inaugural episode, we’re debating how to approach data science pipelines (are they cyclical or linear? How should we test them?) - and how tools like Python and Kafka may not be all they’re hyped up to be in AI.</p><p> Be sure to subscribe to our weekly<a href="https://banana-data.com/"> newsletter</a> to get this podcast & a host of new and exciting data-happenings in your inbox! </p><p> Learn more about the articles referenced in this episode below:</p><p> <a href="https://xkcd.com/927/">Standards comic </a>(xcd) </p><p> <a href="https://towardsdatascience.com/we-are-living-in-the-era-of-python-bc032d595f6a">We are Living in “The Era of Python” </a>by Rinu Gour (Towards Data Science) </p><p> <a href="https://gist.github.com/markrendle/26e423b6597685757732">Is Kafka Overrated? thread</a> (GitHub Gist) </p><p><br /><br /></p>