#TheSimpsons is the perfect TV show to play around with warming stripes! Winter is coming 🥹 Episode ratings from IMDb. #RStats

I'm thinking this version works better. Hoping @cabarau likes it! 🙌

We’re so excited to announce that you can deploy both #RStats and #Python Shiny apps on Hugging Face Spaces using our Docker templates. Shiny is a great front-end for AI models, and we can’t wait to see what people build with this integration. shiny.rstudio.com/blog/shiny-on-…

Quién está buscando nuevos podcast? ¿Y quién ha publicado nuevos episodios? Vamos a darle un poco de vidilla a vuestros timelines con una nueva edición de #HablemosDePodcast Dale un RT a este tweet y déjame un enlace a tu último episodio para devolverte el RT y hacer de altavoz

#Discovery+ is integrated into #Max & #Disney+ will combine w/ #Hulu by year's end. Library consolidation has come for the streaming industry -- and it raises questions about title discoverability and recommendations moving forward. Parrot Analytics parrotanalytics.com/strategy/hbo-m…

Lovely colab w/ Brandon Katz. How can streamers adopt a longer term view inside their content recommendations? One of the biggest “dogs not barking” problems out there. Check it out 👇

HAM 🐷

Using Meta's Llama 3.1 8B model running locally on my MacBook Pro thanks to ollama, using #rstats / Albert Rapp's tidychatmodels package, in Posit PBC's new Positron IDE, to write me a workout plan! (Disclaimer: I'm not a trainer and I can't tell you if this plan is any good!)

🚀 📈 Presenting our R package for working with TimeGPT 📈 🚀 We’re excited to present nixtlar v0.6.1, our R package for working with the TimeGPT API. As the R equivalent to nixtla, the Python SDK for TimeGPT, nixtlar was already available on CRAN and has now been updated to

Es el clásico de todos los años. Creo que no podría trabajar sin ⁦Jorge Drexler⁩ de fondo 🎧 vendrá algun día a la ⁦LA FORMULA podcast⁩?

D'oh! 😅 #TidyTuesday #IMDb #TheSimpsons

Whenever I read Owen Phillips’s F5 newsletter, I can’t resist diving into hackathon mode, scrappy weekend builds! Here’s my latest: NBA JAM–style player attributes from last season’s stats 🏀 ➡️ nba-jam-stats-2025.netlify.app first time using #Positron (loved it BTW 💙)