Evgeni Chasnovski

Applied mathematician, data scientist and R developer | snooker fan | Go and What?Where?When? player.

[Evgeni Chasnovski @echasnovski]

@teej_dv Most of 'mini.nvim' 😅

[Real Python @realpython]

Simplicity Is an Advantage but Sadly Complexity Sells Better #python https://t.co/5cew3Z6dtW

[Dan Hollick @DanHollick]

Ever wondered how a QR code works?
No, me neither but it's low-key fascinating.

(Warning, there is some extremely nerdy shit here.👇 )

[Tom Goldstein @tomgoldsteincs]

Diffusion models like #DALLE and #StableDiffusion are state of the art for image generation, yet our understanding of them is in its infancy. This thread introduces the basics of how diffusion models work, how we understand them, and why I think this understanding is broken.🧵

[Dan Luu @danluu]

Great, practical, guide on how to write a successful library.

When people talk about why X is great, most trendy topics are highly overrated and the topics in this post are highly underrated.

https://t.co/HKbEDtkKUA

[inigo quilez @iquilezles]

The teaser for https://t.co/pAdQ1KCi7l

[Simon Couch @simonpcouch]

Following up on the v1.0.0 release, a paper on the #rstats package {infer} is now live in @JOSS_TheOJ!🎉

[Gabriel Peyré @gabrielpeyre]

Many parametric probability distributions families can be written as maximum entropy distributions. https://t.co/6OEf3hHPcJ

[Mark @offlinemark]

Here's my favorite git feature that no one knows about:

You can reference commits using the commit message instead of the hash. The ":/" syntax accepts a regex that matches any part of the commit message, returning the youngest matching commit.

https://t.co/3vgL7zftHx

[Evgeni Chasnovski @echasnovski]

@krlmlr I guess Vim/Neovim with 'vim-fugitive' plugin is the wrong answer here? 😊

[Davis Vaughan @dvaughan32]

I am ridiculously excited to announce that clock, a new #rstats 📦 for working with date-time data, is now on CRAN!

clock provides comprehensive and safe manipulation of date-times, and is packed with features that I can't wait for you to learn about!

https://t.co/DnKXx4bAqk

[Lionel Page @page_eco]

Everybody should know about Berkson’s paradox.

👉 When two positive traits are (spuriously) negatively correlated, in a population *selected on these traits*.

Examples: 1/
“Handsome men are jerks.”
via @anecdatally

[Jim Hester @jimhester_]

Writing tests can often feel like a waste of time...

tests let you refactor your code with more confidence, so you can later improve the
readability, performance or structure.

They also ensure external contributions are correct.

tests help your future self a lot, use them!

[Antoine Fabri @antoine_fabri]

Dear #rstats friends, let me introducing the {boom} package, to explode a call into the output of its intermediate steps.
One function, one argument, boom!
Works at the end of pipe chains too.
https://t.co/4TabyaK0JU

[Jim Hester @jimhester_]

Writing issues with too much description is nearly as bad as too little. 𐄷

Often the real problem is something completely different then what the reporter spent so long describing. 🤔

One reproducible example is worth 1,000 words. 🖼

[Simon Couch @simonpcouch]

My first #rstats post on my new blog and first #TidyTuesday submission—an introduction to model stacking in the #tidymodels!

https://t.co/rWoU0KjkmL

[Tyler Morgan-Wall @tylermorganwall]

"Build an entire language around data analysis and machine learning. What could go wrong?"🤔

Skynet is coming... and it runs on R 🔥🤖(sound on)

1/5‼️#rayrender updated with new features that made this trailer possible!

Full #rstats animation code: https://t.co/dwLhqjdxmQ

[Emily Riederer @EmilyRiederer]

New blog post on using data column names to form "contracts" between data producers and consumers. I demonstrate how pkgs like {pointblank}, {collapsibleTree}, and {dplyr} can make use of controlled vocabularies to enhance data management and wrangling

https://t.co/dBYCfcHUnd

[Jose Manuel Vera @verajosemanuel]

bnosac/image: Computer Vision and Image Recognition algorithms for #rstats users https://t.co/F0mKHL8YxH

[Simon Kuestenmacher @simongerman600]

Statistical fallacies that you will want to avoid. Source: https://t.co/4KJuabYAxL