Over the last year I’ve given a collection of keynotes and talks around shipping and supporting data science products with Python. I’ve started to gather up my notes into a document – they’re hosted on github as Data Science Delivered, currently its around 5 pages of A4. I put the rough form together after my last keynote of the year in Budapest.
Right now it has notes on how to approach a new project, ways of dealing with bad data, ways to ship working products and ways projects might get sunk.
I’m slowly going to add to this list, I think the rough structure is in place and there’s a lot of detail to add. If you’re interested in getting updates then add your email here and I’ll mail you on occasion when I’ve added a new chunk of information.
Ian applies Data Science as an AI/Data Scientist for companies in ModelInsight and in his Mor Consulting, sign-up for Data Science tutorials in London. He also founded the image and text annotation API Annotate.io, lives in London and is a consumer of fine coffees.