This notebook compares pandas and dplyr. The comparison is just on syntax (verbage), not performance. Whether you're an R user looking to switch to pandas (or the other way around), I hope this guide will help ease the transition.
The privacy discourse sputtered out of steam. This has lead to the current stalemate: we know we're observed, traced and tracked, but pretend it's not happening or nothing to fret about. The question is not when the repressed will return but how? Hackers have been proclaiming that privacy has been dead for decades, that everything can and will be captured, stored and analyzed. And they were right. So, what's to be done?
Nate Silver got the election right.
Modeling this election was never about win probabilities (i.e., saying that Clinton is 98% likely to win, or 71% likely to win, or whatever). It was about finding a way to convey meaningful information about uncertainty and about what could happen. And, despite the not-so-great headline, this article by Nate Silver does a pretty impressive job.