On Building Data Science Teams and Explaining Some Quirks in R

A number of people passed around a link to a fantastic piece on building well-running data science teams. Based on this paradigm, we did a lot of things wrong at Amazon, and we are doing a lot of things right at Microsoft now, at least in Azure. I particularly enjoyed how Jeff drew parallels between data scientists and advanced report creators, as well as the thinker/doer dichotomy.

I also recently found an improvised FAQ of random quirks in R language, and greatly enjoyed reading through it. I feel like I now finally understand the difference between "<-" and "=" operators for assignment, for once.