Michael Chow
@mchow.com
cog psych phd, table displayer, plant enthusiast. data science tools @posit.co. senior advisor at CodeForPhilly.
Wondering why Astral joined OpenAI? We recently hosted Charlie Marsh from Astral on The Test Set, where he discussed how AI agents were already reshaping Astral’s roadmap. If you want to hear where his head was at before the news broke, check out the episode here: www.youtube.com/watch?v=Noxo...
New Great Tables post: recreating SEPTA timetables in Python! I'm a big fan of how transit networks display timetables, so @richmeister.bsky.social and I reproduced one by SEPTA! It was a quick experiment, and still a bit rough, but fun to try w/ Great Tables. posit-dev.github.io/great-tables...
Had a great time on @posit.co 's Test Set pod w/ @mchow.com @hadley.nz @wesmckinney.com! We talk about moving between R, SQL, python and the strengths of different analytical tools for diff data tasks. You won't believe what proprietary language gets a shout-out (Stata!) posit.co/thetestset/e...
Episode 14 – Emily Riederer: Column selectors, data quality, and learning in public - Posit
posit.co
Excited to be talking about dbt with @mchow.com at @posit.co's Data Science Lab tomorrow (1/6) at noon Eastern! If you're a data scientist or analyst curious about dbt/analytics engineering, this will be an accessible introduction Register: pos.it/dslab
Data Science Lab
pos.it
Last 2025 post, on @python.org & @carpentries.carpentries.org values, a great @posit.co conf session feat @mchow.com @richmeister.bsky.social @davisvaughan.bsky.social, the magic of #rstats #python dev cultures sharing best practices, and random #rstats history www.emilyriederer.com/post/py-rgo-...
R + Python: From polyglot to crosspolination | Emily Riederer
A combined reflection on 2025, posit::conf(2025), and the necessity of diversity in open source
emilyriederer.com
It was such a pleasure to join @hadley.nz, @wesmckinney.com, and @mchow.com on THE TEST SET! You can check out the two parts of our conversation here: 🍕 posit.co/thetestset/e... 🤖 posit.co/thetestset/e...
Ever wonder how the #tidyverse came to be? 🤔 #TheTestSet's first episode features @hadley.nz on his accidental empire of #RStats packages, bear encounters, and more! Stream it at thetestset.co, Spotify, or Apple Podcasts. #DataAnalytics #PodcastLaunch
Data science junkies, get ready! 🚀 "The Test Set" #podcast trailer is here for your viewing pleasure. Tune in July 1st and every Tuesday after for new episodes with hosts @mchow.com, @hadley.nz, and @wesmckinney.com as they welcome thought leaders in #DataScience. Subscribe now: pos.it/thetestset
Great Tables is the #Python library for creating display-ready tables from your #Polars DataFrames and more. In their 3-part video series, @mchow.com & @richmeister.bsky.social show how to add structure, formatting, & styling to go beyond the default. Explore the details: posit.co/blog/level-u...
New post! Great Tables: Becoming the Polars .style property When you use Polars `DataFrame.style` it returns a Great Tables object. This is a bit cheesy, but I look back on all the pieces the open source community chipped in to make this happen 🥲. posit-dev.github.io/great-tables...
![Python code using Polars and great_tables libraries to create a DataFrame with two columns and apply a blue background style to rows where column 'a' contains null values. The code is followed by an image showing the resulting styled table.
Here is the Python code:
```
import polars as pl
from great_tables import loc, style
(
pl.DataFrame({"a": [1, None], "b": [3, 4]})
.style
.tab_style(
style.fill("aliceblue"),
loc.body(rows=pl.col("a").is_null())
)
)
```](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:7gygvhegj2i2q2ebjqozbkkd/bafkreidkx6xs4gktbtsjp4djso7ztqsgjtrskdugmgxxmwl7qsk6sgh4zm)
I'm looking to contribute to tools for analyzing public transit data in 2025--and would love to hear from folks! posit-dev.github.io/great-tables...
Have you ever wondered how to render images seamlessly in Great Tables? Check out our latest blog post, where we dive into the most common use cases and practical examples! 🔗 Rendering Images Anywhere in Great Tables: posit-dev.github.io/great-tables... #python #dataviz
Rendering images anywhere in Great Tables – great_tables
posit-dev.github.io