Vitest now has an examples folder to help you get started: Vue, Svelte, React, Lit, RTL, Puppeteer, MSW. Thanks to everyone that contributed to these playgrounds! Also, we just hit 2K stars on GitHub! 🌟 github.com/vitest-dev/vit…

Raul Nohea Goodness Zach Freed i think it's a great chart — forces you to engage with familiar data in a novel way, shows seasonal effects, and goads people into making viral tweets about it

Fetch will finally be available natively in Node 1️⃣8️⃣ youtube.com/watch?v=MBqS1k…

This short video by Matt Harrison is the best collection of good practices for pandas I have seen. Nice compare & contrast of chaining code vs imperative mutation at 15:10, and lots of little tips to keep memory in check. #python youtube.com/watch?v=PHhOTE…

Happy to release Skeef: a tool to visualise Twitter networks in near real-time. Specifically, it's a server that takes a Twitter stream as input and outputs a graph (of your choosing) to a web address so you can share it with others. 🔗github.com/devOpifex/skeef

Nice article by Roel Nieskens explaining what are *variable* fonts and why you should care if you write anything for the screen pixelambacht.nl/2021/optical-s…

Cédric Scherer Neat trick: those methods allow you to do multiple regression within a data.frame very neatly (without nesting): mtcars |> group_by(gear) |> summarize(lm(mpg ~ cyl, data = cur_data()) |> tidy())

TIL that 🔥 Matt Dancho (Business Science) 🔥 has a "Deploy Shiny on AWS" book (business-science.github.io/shiny-producti…) ! Looks like a great companion to ThinkR "Engineering Production-Grade Shiny Apps" (engineering-shiny.org).

No more manual sorting of Tailwind CSS classes !!!👇

I'm going to give this YouTube thing a try, I have a few ideas for mildly interesting videos. First, dynamic inputs in #shiny (with JavaScript) youtu.be/EuIJS5t5g3M

It took me some time to understand the after_scale function in #ggplot2. I hope I can make your life a little easier with this cheat sheet. You can find it on my cheat sheet page: ggplot2tor.com/cheatsheets Many thanks to Emil Hvitfeldt for his great prismatic package. #rstats

When you know that percentages are reversible:

I had fun this weekend in #Rstats with #rayshader & #ggplot2 together with #QGIS and #inkscape. Here is my very first 3D #DataVisualization 🥳 Code for maps in comments. Thanks Tyler Morgan-Wall for troubleshooting. Data from swisstopo. #GIS #gischat #infographic #dataviz #Data

Exciting if you experienced the challenge of setting up storybook with vite👇

New blog post: The {chronicler} package, an implementation of the logger #monad in #RStats brodrigues.co/blog/2022-04-0…

Hey ↙️↙️ Robin Pokorny, I just rewatched your very interesting talk on fp-ts at React Berlin 2019 (youtube.com/watch?v=UwCLmH…). Thanks for choosing this topic! Is there a repo by any chance? Sounds like you mention a link but the video has stopped showing slides by then.