If you know me, you probably know my fixation on column names and column selectors for data wrangling, docs, and validation

I had NOT thought about selectors for styling. Awesome blog post on the deep integration of these features in The {gt}/great_tables Packages and polars data

[BLOG POST]
First Great Tables blogpost on the project site! It shows you how to:
•configure the structure of the table (+ add source notes)
•format table-cell values
•add styling to targeted table cells (w/ Polars niceties)

Check it out at: posit-dev.github.io/great-tables/b…

{gt} has a 🐍-based cousin now, in the form of the Great Tables (v0.1.0) package. It’s a *great* new Python package that simplifies the process of making tabular data presentable for any sort of publication task. Check out the docs site at posit-dev.github.io/great-tables/ and talk to us!!

Sharing this because it's not getting nearly enough love: quartodoc, by Michael Chow

Build quarto websites integrated with Sphinx autodoc. This means hosting documentation that is beautiful & consistent with code just got a lot easier
#datascience

github.com/machow/quartod…

I love that R is so extensible, that people can see the tidyverse and ask, but is it *R*?

dplyr 1.1.0 is coming soon!! 🎉🎉

We are so excited to introduce you to the new features we've been working on, including:
- Temporary inline grouping with `.by`
- Non-equi joins
- Faster `arrange()`

And SO much more! #rstats

tidyverse.org/blog/2022/11/d…

Hello! I maintain a port of dplyr to python called siuba.

If you'll be at #PyDataNYC and are interested, would love to chat!

siuba.org

As this article by Nate File shows, small steps go a long way toward making powerful change. With minor tweaks & innovation by people with tech expertise from #SJHPHL Philly's Social Justice Hackathon, we can use our legal expertise to serve more people who are struggling to get by. inquirer.com/news/philadelp…

Hello friends! For my livestream tomorrow I'm going to be trying out Michael Chow's Siuba package for the first time. Come join us! :)

youtube.com/watch?v=VEc9IJ…

When I generate SQL from 5 lines of dplyr:

Into open data and social justice? This October hackathon featuring the likes of Code for Philly R-Ladies Philly Community Legal Services of Philadelphia Drexel University might be for you bit.ly/3UFfPN4

Next release of polars will ship with automatic subplan elimination. Complicated self-referencing plans will likely run much faster if your threads were contending.

LazyFrame.cache() is an operation a user can start to forget.

Imagine a geospatial DataFrame library that's

- written in Rust
- binding to Python and WebAssembly
- multithreaded
- built on GeoArrow

With Stuart Lynn I've been working on a *prototype* of achieving this by extending polars data for geospatial support
github.com/geopolars/geop…

👋Hi! I am a real live person on the #rstats #RLadies global teams who helps keep the We are R-Ladies curator account active 😎

I love hearing & learning from #RLadies all over the world 🌎💜🌍💜🌏

If you do too, please sign up ✍️ or nominate someone whose work you admire 😍!

If you're like to see my rstudio::conf() talk about R7, its now online: rstudio.com/conference/202…. R7 is a new OO system that takes the best parts from S3 and S4. It's designed by folks from R Core, BioC, ROpenSci, RStudio, and more #rstats

We ran the first 7 TPCH queries on scale factor 10 to compare different #python dataframe solutions on a single machine.

This shows that scaling #pandas doesn't always make it faster. See that small purple bar? That's how much faster polars is!

The Data Science Learning Community welcomes you to week 32 of #TidyTuesday ! We're exploring Ferris Wheels courtesy of Emil Hvitfeldt!!

📁 bit.ly/tidyreadme
🗞 github.com/EmilHvitfeldt/…

#r4ds #tidyverse #rstats #dataviz

mood

(c/o of my partner 😍)