Technology
The Essentials (and not-so essentials) of Data Science Pipelines
2019-11-01
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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.
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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)
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