Ahhh your post is so helpful to read! In case it's good grist for the mill, I also gave this scipy talk on user guides (before The Curse talk).
It uses R4DS, plotnine, and FastAPI as examples. I want to combine it all together into... surprise--a guide!
www.youtube.com/watch?v=lHCO...
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...
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
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-...
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...
Hadley Wickham in a white t-shirt and jeans sits on a light-colored couch across from Michael Chow, wearing a dark green shirt and pants, who is seated on an orange pouf. Between them is a white coffee table with books. In the background, there's a dark bar with shelves displaying numerous bottles, a wood-paneled wall, and a black, modern fireplace. Text overlay reads "Hadley Wickham CHIEF SCIENTIST, POSIT".
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 logo with arrows pointing up above the logo
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...
![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)
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()) ) ) ```
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...
Ahh I never wrote the follow-up post 😓, but this Great Tables post does one better, and shows how we used singledispatch with another tool (databackend), to support multiple dataframes without a hard dependency on Pandas or Polars:
posit-dev.github.io/great-tables...
Thanks for this deep dive! partridge is a bit hard for me to grok, since I'm noticing a lot of for loops, but more used to data wrangling looking a bit more like SQL transformations / tidyverse pipes.
(I wonder if Polars would help with this, since it makes easier to keep things table-y, SQL-y)
I think it's good when a system has a real story, but that most good systems are totally inscrutable 😭.
verraes.net/2013/08/john...
It seems similar to how memory champions use spatial locations to memorize large lists of numbers.
A system explained in the abstract is a list of arbitrary facts and rules to learn. A story might be the same system with all kinds of juicy extra context / structure as a mnemonic aid?!
omg this is incredible
A table made by Great Tables, showing names of Paris Metro stations. There is a column called lines, which shows each line number at that station. And a column called passengers, with the number of passengers with the total number of station entries in 2021.
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
pins-python uses fsspec under the hood. afaict since fsspec has both iceberg and duckdb support, this wouldn't be too hard to test out!
