Positron

🤩 Positron gives you a lot of panes to work in, and everyone seems to end up with a favorite... Have another favorite not listed? Let us know in the comments!

Coming from VS Code, RStudio, or JupyterLab? Positron's docs have a dedicated guide for wherever you're starting, plus setup walkthroughs for Python, R, and AI features. Find it all here: https://lnkd.in/gQEpUEA7

What is a Parquet file? And do you have Parquet FOMO like I did?! Nic Crane joined Isabella Velásquez and me on the DS Lab to teach us all about this magical file format ✨ Parquet files preserve data types, are fast to read and write, are small to store, and are column-oriented - meaning you can read just one column without reading in the entire file! SO MANY cool things to love. Oh, AND, Positron can just magically view Parquet files right out of the box. Click a .parquet file, without even reading it into your R or Python session, and Positron will display it in the Data Explorer for you 🤯 (This is just one of the things I learned during this Lab!) Watch the video of the Lab on Parquet files here: https://lnkd.in/gZVCkbFc

🪄Posit Assistant runs inside Positron Pro sessions now, and Workbench administrators can set the rules it runs under. They can allowlist which AI providers and models Posit Assistant reaches, restrict which MCP servers it can call, and control which Positron extensions people install, globally, by group, or per user. A data scientist picks their own guardrails inside Positron and IT sets the ceiling those choices can't cross. Check out the blog: https://lnkd.in/gRhH3-ET

New blog post: running R and Python together on an HPC compute node with Positron, including the setup and the snags. Might be useful if you work in both languages. https://lnkd.in/gTv9HKRF

Looking for Positron and Posit Open Source updates? They officially have their own LinkedIn pages! Give them a follow to keep up with news, releases, and discussions: 💻 Positron: News, tips, and features for Posit’s modern data science IDE. 📊 Posit Open Source: Highlights from tidyverse, Shiny, Quarto, and the broader open-source data community. Thanks for being part of our community. See you on the new pages!

Positron now runs inside Amazon SageMaker Studio with your existing AWS credentials and full access to S3, Athena, and Bedrock. 🎉 Watch the 5-minute tour 🎥 https://lnkd.in/gDUrW-AA

Plot twist: your data science team can get real value from Posit before signing anything 🤩 This guide breaks down what you get beyond your investment with Posit: the IDEs and packages your team already uses, plus the infrastructure that keeps it reproducible and audit-ready. Download here: https://lnkd.in/gG9Q9j8T

Running R and Python data science on Amazon SageMaker? Positron now shows up right in the Studio launcher, preloaded with R, Quarto, and an AI assistant that authenticates through your own AWS credentials, no extra keys required. 🔑 Check out the blog post: https://lnkd.in/eprg5YXH

It took a little while, but I'm really on board with Posit's RStudio-replacement Positron. It's basically just VS-Code but fixes all the parts of VS-Code that make it bad specifically for data science. I generally agree with the idea that Python is the second-best language for lots of things, which is a good thing, but R remains my go-to for quick data work and statistics. Maybe just because it's more familiaR. However enjoying being able to combine data work and development work in a single IDE, and R-native ipynb are very neat.