R vs python used to be a language war, then settled into a peaceful polyglot co-existence. But now? We've gone beyond detante to language pluralism

In this year-end post, I reflect on how the best ideas of R/python are bettering the other, a session at posit::conf that exemplified this, and how teaches us the (obvious) lesson that diversity is in fact good

Happy New Years to all the builders, makers, and idea sharers out there

https://www.emilyriederer.com/post/py-rgo-crosspol/

Dev and deploy require of diff skills.
dbt tries to bridge the gap for #data pipelines, but what about MLOps?

I explored how Posit's {orbital} + dbt delivers "good enough" zero-infra MLOps for batch model scoring in database from python or #rstats models

https://www.emilyriederer.com/post/orbital-mlops/

Technical writing is hard bcs "writing is thinking" but we often should tell our story not in the order we worked. Solution? I wrote a quick post on how
Quarto's embed shortcodes can reframe technical writing as reproducible evidence curation

https://www.emilyriederer.com/post/quarto-comms/

#rstats

posit released a cool new package {orbital} for converting sklearn pipelines to SQL for model scoring, *but* it wasn't compatible with vanilla xgboost

I'm very intrigued by the potential for orbital so I did a quick write up how to get them to play nice

https://www.emilyriederer.com/post/orbital-xgb/

#python #rstats #data