Blog
A collection of my thoughts on data science
Strategies for managing big data
How to handle situations where you data doesn't fit in memory
September 17, 2021Speeding up neural network training with multiple GPUs and Dask
An analysis of the benefits of using multiple workers with GPUs to train a Pytorch model in parallel
August 19, 2021Making Shiny apps mobile friendly
Use Bootstrap to get your apps to do exactly what you want
August 5, 2021Introducing ggirl
An R package that lets you make ggplots in real life
April 12, 2021Merge conflicts: helping data science students merge their advanced skills into existing teams
By Allison Horst and Jacqueline Nolis
What do we do about students trained in R and Python for jobs with Excel, Google Sheets and Access?
March 31, 2021Running background R jobs in Shiny
How to make long running tasks persist after closing a session
March 19, 2021Hugo for fussy people
How to make a Hugo theme that looks exactly like you want it to
February 21, 2021Predicting tubing trip times with current speed data
A statistical model that's just the thing for a better trip with your friends
November 26, 2020Pretending to have a SQL database with RStudio
All the fun of SQL with nothing to manage
July 29, 2020R Docker faster
R Docker images will build much faster thanks to RStudio's package manager
July 6, 2020