Uploaded November 2025 | Updated September 2026, 3 weeks ago
Building Multilingual Data Science Teams
💬 Speaker(s): Michael Thomas
📝 Abstract:
For much of my career, I have seen data science teams make the critical decision of deciding whether they are going to be an “R shop” or a “Python shop”. Doing both seemed impossible. I argue that this has changed drastically, as we have built out an effective multilingual data science team at Ketchbrook, thanks to polars/dplyr, gt/great-tables, ggplot2/plotnine, arrow, duckdb, Quarto, etc. I would like to provide a walk through of our journey to developing a multilingual data science team, lessons learned, and best practices. posit::conf(2025) Subscribe to posit::conf updates: posit.co/about/subscription-management
Building Multilingual Data Science Teams
💬 Speaker(s): Michael Thomas
📝 Abstract:
For much of my career, I have seen data science teams make the critical decision of deciding whether they are going to be an “R shop” or a “Python shop”. Doing both seemed impossible. I argue that this has changed drastically, as we have built out an effective multilingual data science team at Ketchbrook, thanks to polars/dplyr, gt/great-tables, ggplot2/plotnine, arrow, duckdb, Quarto, etc. I would like to provide a walk through of our journey to developing a multilingual data science team, lessons learned, and best practices. posit::conf(2025) Subscribe to posit::conf updates: posit.co/about/subscription-management
