Brazilian Speed Runners? Super Metroid? It's Pydata Copenhagen!

We're back with a summer edition of Pydata Copenhagen to ponder the ancient question. Why are Brazilians so good at speedrunning Super Metroid? We are about to find out!

Agenda:

18:00 Arrive, hang out, get some snacks, beer, soda

18:30 Pizza time!

19:00 Making big data pretty: how Brazilian tiktok gamers pwn Super Metroid on the speed runner leaderboards
Charles T. Gray - PhD

This open data science picturebook is forged in the wilds of Super Metroid speed runners’ data with Python, Bash, & R. Data science storytime: sourcing video game players’ data from open apis to answer a gamer’s question, When do Super Metroid speed runs get competitive? Players save a file of different time points captured (of loot drops and boss fights) in a plug in for an emulator for this 90s video game. This talk tells the story of the data behind interactive visualisations; from a single dataset to discovering apis for leaderboards where players upload their data. Keep an eye out on PyData Slack for data vis.

Charles T. Gray, Ph.D. has been employed as an R programmer for statistical computing on big data since 2012, more recently python. She has worked as a data scientist on research projects in psychology, epidemiology, bioinformatics, neuromarketing, and ecology. Her doctoral thesis focused on the intersection of data science and mathematical statistics

20:00 More socializing, discussing/trying what we learned
22:00 Doors close

Sponsors: We have to remember to thank our sponsors!

NumFocus for sponsoring the meetup.com costs (as well as all your favourite Pydata tools)!

Special thanks to the Alexandra Institute for sponsoring the location and food