On paper, Deathloop sounds like another entry in the seemingly endless parade of games, movies, and TV shows about time loops--a period of time that repeats again and again and again, until our hero can figure out how to reset the flow of time and move forward once again. Much has been written about the ubiquity of these stories: There's Russian Doll, Happy Death Day, Palm Springs, and The Map of Tiny Perfect Things, to name only a few recent, well-known examples. A glut of time loop games from over the last half decade include titles as diverse asThe Sexy Brutale, Outer Wilds, Minit, Elsinore, and Gnosia, among those most acclaimed. This year in particular is stacked with games in which players must return to the same time and place ad infinitum, from Returnal to 12 Minutes and The Forgotten City. Time loops stories are clearly in vogue right now, but they aren't new.

Work as a data scientist follows a cycle: log in, clean data, define features, test and build a model, and make sure the model is running smoothly. Sounds straightforward enough, except not all parts of the cycle are created equal: data preparation takes 80% of any given data scientist's time. No matter what project you're working on, most days you're cleaning data and converting raw data into features that machine learning models can understand. The monotonous hole of data prep blends hours together and makes each day of work feel identical to the one before it. Why can't you do this tedious process more effectively?

Palm Springs is the latest film to put an original spin on the idea of a character reliving the same day over and over again. Video game journalist Blake J. Harris has loved the concept ever since watching Groundhog Day as a kid. "Groundhog Day is a top five all-time favorite movie," Harris says in Episode 435 of the Geek's Guide to the Galaxy podcast. "And Palm Springs is probably my favorite movie I've seen in a year." Palm Springs features three characters--played by Andy Samberg, Cristin Milioti, and J.K. Simmons--who all relive the same wedding over and over.

That as a mind-set gets people narrowed. Netflix's core competency in data science enables the personalization of the streaming experience based on user behavior. Netflix classifies and tags content to get a nuanced view of consumer preferences. Netflix has developed over 1,000 tag types that classify content by genre, time period, plot conclusiveness, mood, etc. These tags help to define micro-genres, which, by 2014, had already reached 76,897.