We've partnered with @DataCamp to create an interactive Polars course. Learn the fundamentals and get familiar with our API through hands-on exercises. The course is available for everyone and free until the end of August. Start the free course here: https://t.co/S9N5TZVhTR

One person I feel who is insufficiently appreciated is Hadley Wickham. The results of his work are everywhere, every journal and conference I know. He changed the history of science.

If you'd be interested in working with me at Microsoft as a data scientist focused on software engineering metrics, check out this opportunity!

Happy New Year! With a new Python Polars release: https://t.co/R2t2o5dKh4 A new Rust Polars release: https://t.co/l5bLOxLEoP And a new release for Polars plugins: https://t.co/lAu696vshO Oh.. And polars now supports plotting😎

If you’re looking for me elsewhere… https://t.co/eoVC118Sdd

tidytable v0.10.0 is now on CRAN! tidytable enables tidyverse-like syntax with data.table speed. Simply use library(tidytable) to replace your existing dplyr & tidyr code with data.table backed equivalents. #rstats https://t.co/l3BWwZ94kw

dtplyr 1.3.0 is out now: https://t.co/xJ5i4qfmZc! It no longer "steals" data.table methods for dplyr/tidyr, includes some dplyr 1.1.0 features, & some nice performance improvements. Big thanks to Mark Fairbanks & other maintainers who did all the work for this release. #rstats

Post 3/4 for dplyr 1.1.0 is out! #rstats 🎉 Today, we'll look at how the vctrs 📦 has upgraded dplyr's vector functions, like `case_when()` and `between()`. We'll also look at two powerful new helpers: `case_match()` and `consecutive_id()`! https://t.co/BIuxzaDhgL

Very nice afternoon yesterday with R's colleagues in @CoRdoUsers (Congreso R - Cordoba - Spain) talking about tidytable (@markfairbanks10) and fast R in general. Buena tarde de ayer, hablando de "tidytable" (@CoRdoUsers ) con los colegas de R. #RStats #rstatsES

Along with pip, you can now download tidypolars through conda! Looking for tidyverse-like syntax in python with blazing fast speed? Check out tidypolars. https://t.co/EIYC8iycJ2

tidytable v0.8.1 is on CRAN! It also comes with a new logo 🥳 Need data.table speed with tidyverse syntax? Check out tidytable. #rstats https://t.co/bMKEbWWc4U

I've published the first RC for seaborn v0.12.0. This version introduces a completely new interface, as demonstrated here: https://t.co/6mvcZnlmLg It also has a bunch of enhancements and fixes for existing functions. Please test it out! pip install seaborn==0.12.0rc0

@mdancho84 I like tidytable. just add a '.' to your verbs (i.e. left_join.()) and your usual tidyverse code is sped up considerably.

Recently I got to know tidypolars, a library to perform data analysis in Python inspired by the tidyverse. My conclusion? Let's use it more! https://t.co/uBcEe1OxR3 #tidypolars #python #tidyverse

For a little more info - here's a link to all functions implemented in tidytable as well as speed comparisons to data.table/tidyverse/pandas for those curious. Functions: https://t.co/MkhTUoHbwk Speed comparisons:

tidytable v0.8.0 is now on CRAN! It comes with performance improvements to key functions along with some expanded functionality to others. Need data.table speed with tidyverse syntax? Check out tidytable. #rstats Site: https://t.co/bMKEbWEAGk Changelog:

Tidypolars looks interesting... given that pydatatable is kinda dead, I have to learn this for when Pandas gets frustrating #rstats #python #datascience

I've been asked to help optimize an #rstats simulation and found a small bottleneck with tidyr::separate(). It was so cool to be able to drop in tidytable::separate.() (a wrapper around 📦 data.table) and see a nice speed increase! https://t.co/W1mXKMSV95

tidytable v0.7.0 is now up on CRAN! tidytable also just passed 40k downloads 🎉 Looking for tidyverse-like syntax with data.table speed? Check out tidytable. #rstats https://t.co/bMKEbWEAGk