629: Software for Efficient Data Science
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Python
Piping was something I got really used to when I was first, you know, using R and it was super logical like this idea of you're essentially doing an ETL. And funnily enough, when I went to pandas, I got into this habit of just saving everything to interim variables. It wasn't until I started using Spark where this chaining is very common that I got back into doing it with pandas. Maybe we should be using a super data science platform more as a platform for advocating for piping, piping people.
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