mood (c/o of my partner 😍)

The @R4DScommunity 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

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!

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

👋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 😍!

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…

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.

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

When I generate SQL from 5 lines of dplyr:

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…

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

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…

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

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…

{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!!

[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…

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

🐍🎧 Build Captivating Display Tables in Python With Great Tables Do you need help making data tables in Python look interesting and attractive? This week we speak with Richard Iannone and Michael Chow from Posit about the Great Tables Python library. realpython.com/podcasts/rpp/2…