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.
Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox!
Learn more about the articles referenced in this episode below:
Standards comic (xcd)
We are Living in “The Era of Python” by Rinu Gour (Towards Data Science)
Is Kafka Overrated? thread (GitHub Gist)