3 ms·

"Here's a pile of crap in a jupyter notebook, turn it in to a product!"

• datavirtue 3y ago
  Same as: "Here is a pile of crap in a spreadsheet, turn it into a product!" That is our job.
• rectang 3y ago
  That describes a past gig of mine which was fantastically successful. I was handed a messy 3000-line Jupyter notebook which contained the prototype of a great product, and given the task of productionizing it. In fact, this is what I've done at several startups now: take prototypes and productionize them. At this point, I'm almost a specialist in transitioning from early stage to growth stage. I can do prototyping, but I recognize that productionizing is my stronger suit. The technology for the prototype doesn't matter — Jupyter is fine. In fact, it's better if the prototype is shite because then it makes it easier to make it the "one to throw away".
• datadrivenangel 3y ago
  I once watched a data scientist copy code from a notebook into an email and send it to us, right before going to Hawaii for two weeks so we could productize it. This was after advocating for version control for the project for months...