Posit Conf 2025

Production#

Sep 18, 2025 | 18 min | 253 views

Building Multilingual Data Science Teams (Michael Thomas, Ketchbrook Analytics) | posit::conf(2025)

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: https://posit.co/about/subscription-management/

dplyr ggplot2 gt plotnine Quarto Posit::conf(2025) RStats Python Data Data Science AI

video

Sep 18, 2025 | 18 min | 253 views

Building Multilingual Data Science Teams (Michael Thomas, Ketchbrook Analytics) | posit::conf(2025)

dplyr ggplot2 gt plotnine Quarto Posit::conf(2025) RStats Python Data Data Science AI

video

Sep 18, 2025 | 18 min | 253 views

Building Multilingual Data Science Teams (Michael Thomas, Ketchbrook Analytics) | posit::conf(2025)

dplyr ggplot2 gt plotnine Quarto Posit::conf(2025) RStats Python Data Data Science AI

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R & Python playing nice, in Production (Claudia Penaloza, Continental Tires) | posit::conf(2025)

Sep 18, 2025 | 17 min | 160 views

R & Python playing nice, in Production (Claudia Penaloza, Continental Tires) | posit::conf(2025)

R & Python playing nice, in production Speaker(s): Claudia Penaloza Abstract: Hi, I’m Claudia Peñaloza, a Data Scientist at Continental Tires, where going data-driven can be an adventure. What started as a proof of concept a few years ago, evolved into Conti’s first-ever Predictive Machine Learning Model for R&D! A baby, a wedding, two lateral moves, and three hires later, our team had also evolved… from mostly R to mostly Python developers. Rewriting 1000+ commits? No thanks. Instead, we got R and Python to play nice. With Renv, Poetry, and Docker, we keep things reproducible, portable, and deployable on various ML-Ops platforms. The takeaway? With the right tools, teams can mix and match languages, leveraging the best in each, and still build solid, scalable solutions. posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

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Purrrfectly parallel, purrrfectly distributed (Charlie Gao, Posit) | posit::conf(2025)

Sep 18, 2025 | 18 min | 360 views

Purrrfectly parallel, purrrfectly distributed (Charlie Gao, Posit) | posit::conf(2025)

Purrrfectly parallel, purrrfectly distributed Speaker(s): Charlie Gao Abstract: purrr is a powerful functional programming toolkit that has long been a cornerstone of the tidyverse. In 2025, it receives a modernization that means you can use it to harness the power of all computing cores on your machine, dramatically speeding up map operations. More excitingly, it opens up the doors to distributed computing. Through the mirai framework used by purrr, this is made embarrassingly simple. For those in small businesses, or even large ones – every case where there is a spare server in your network, you can now put to good use in simple, straightforward steps. Let us show you how distributed computing is no longer the preserve of those with access to high performance compute clusters. Materials - https://shikokuchuo-posit2025.share.connect.posit.cloud/ posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Charlie Gao

mirai purrr tidyverse Posit::conf(2025) RStats Python Data Science Data

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Data Science Hangout (Rachael Dempsey, Posit & Matthew Montero, GenRe) | posit::conf(2025)

Sep 17, 2025 | 35 min | 130 views

Data Science Hangout (Rachael Dempsey, Posit & Matthew Montero, GenRe) | posit::conf(2025)

That’s right, a LIVE IN PERSON Data Science Hangout! Rachel Dempsey introduces Matthew Montero, Chief Data Officer at GenRe, who shared his journey from actuary to technology leader. He emphasized the importance of effective communication between IT and business, as well as the need for a strong enterprise data architecture. Matthew discussed the challenges of productionalizing data models and the significance of community support in adopting new tools like R. If you’d like to attend a Data Science Hangout, we’d love you to join us. We meet (almost) every Thursday at 12PM ET, and you can register at pos.it/dsh. Everyone is welcome! It doesn’t matter what your background, years of experience, or preferred tools are

Posit::conf(2025) RStats Python Data Science Data