After the MVP — Moving to a Dev Workflow

From an engineering perspective, building a minimum viable product is an opportunity to quickly test an idea and see if it works. It doesn't need to be the best solution, it should just be a usable solution. If it is, then we can move on to the development stage and …

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Welcome to Data Science MVP!

Pardon the extremely click-baity blog title. There's a good reason for that, I promise. In the world of data science, MVP stands for Minimum Viable Product. It's a first draft of a data science project in which we've put together enough of our workflow to read in some data, put …

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