TIL PyPI will reject a package upload if it has a "Private :: Do Not Upload" trove classifier. This is cool! I'll add this to the Insiders versions of my projects 🙂 Unless other registries reject it as well 🤔

#til #pypi #python

#statstab #219 {ggh4x} - hacks for ggplot2

Thoughts: This is an awesome little package. Helps with added faceting on complex plots. In the image "Long Leaves" would not be possible in ggplot2.

#r #ggplot2 #dataviz #plots #infographic

https://teunbrand.github.io/ggh4x/

A fun #rstats quiz! Without looking it up, <object of type 'closure' is not ______>

See also: `fortunes::fortune("English English")`

Welcome the latest addition to the tidyverse: duckplyr! 🎉

https://duckplyr.tidyverse.org/

The duckplyr package aims to be a fully compatible drop-in replacement for dplyr, using duckdb when it can for performance, and always giving the same results as plain dplyr. If you haven't seen it yet, give it a try and tell us how it works for you!

Please Boost, It could connect me to my dream research opportunity! 🙏

Seeking Masters/PhD in neuroscience/degenerative diseases or Pediatric Neurology!
Author of a paper (under peer review), data analyst, multilingual.
Johns Hopkins certs, experienced in data collection/analysis, medical/lab procedures including rodent handling, microscopy, CT/MRI, cell cultures. Proficient in R, MATLAB, SPSS.
#Neuroscience #PhDOpportunities #PhD #PhDPosition #FediHire

Good comeback. Checks many boxes of how to respond to comments of this kind:

- call out their bullshit
- respond with kindness
- craft your message not with the edgelord in mind, but write it for the rest of the community (the edgelord will hate it anyway, so no need to pander to them)

#community #socialmedia #internet #culture

You can improve CRAN with these 9 tricks 😉

As it has been discussed these days at #rstats there is much to improve #CRAN, both technically and non-technically. Kurt Hornik, one of the founders of CRAN, listed in his last slide of useR!2024 what *we* can do

My personal recommendation is to start small and with what you have at hand (resources available: time, interest, experience, ...). The hardest part in open source is not naming, but collaborating and long term maintenance