We're thrilled to offer opinionated boilerplate Shiny Templates code that allows you to hit the ground running, whether you need a quick, simple app or a quick, complicated one.
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Polars is popular in part because of its intuitive & powerful context and expressions that help make simple data manipulation tasks easy (not to mention the Arrow driven performance). These are important to folks who want to think more about their analytics and less about code optimization. But right now, when it's time to convert polars data into a table to share, people often turn to pandas and use the built-in DataFrame styler.
This is a sad state of affairs. One major limitation with this state of things; you can’t use polars expressions. And this friction doesn't help with performance.
Check out great_tables latest update!
"Polars expressions make styling tables very straightforward." The same Polars code that you would use to select or filter combines with Great Tables to highlight, circle, or bolden text.
The release brings new formats for dashboards and Typst, a new manuscript project type, a cross-reference overhaul, Shiny for Python support, and a ton of other updates.
tidymodels: Better warnings, clearer errors, and exciting new features coming soon!
The tidymodels framework is a collection of #RStats packages for modeling and machine learning using #tidyverse principles. This quarterly digest summarizes what’s new in the tidymodels ecosystem.
⬡ Enhanced warnings: {recipes} sees an overhaul of error and warning messages. Watch out for sneaky Inf and -Inf values lurking in your data. Tidymodels now warns you about potential normalization issues, helping you avoid misleading results.
⬡ Improved error messages: We are starting the project of providing more information signaling when things don’t go well.
⬡ Get ready for a cascade of updates: Tune and other packages are packed with new functionalities waiting to be unleashed. Stay tuned for a wave of releases in the coming months!
More travelers than ever are expected to travel by air this holiday season＊. Airport authorities seek every analytic edge to make your journey as safe & smooth as possible. That's why the Halifax International Airport Authority uses Posit Team.
There are over 100 videos on topics spanning data science, including building great teams, communicating analytics to decision makers, teaching, developing packages, data science infrastructure, building your career, and sustaining fulfilling communities.
Plus find dozens of talks on Posit products, including Shiny, Quarto, RStudio, the tidyverse, tidymodels, vetiver, Posit Team, and so much more.
Do you need to improve the predictive performance of your machine learning model? Try {stacks}. It’s not just for breakfast anymore. 🥞
{stacks} is a package implementing model ensembling in tidymodels, a collection of packages for #machinelearning in #RStats. The release refines alt text for package viz and addresses some bugs.
☁️ Posit Cloud is an online platform where people do and share data science with their favorite coding languages and environments, all from the comfort of their own web browser.
And today, we’re excited to share that Posit Cloud has double the power to support your most important work.
📈 To support users working with larger datasets and more sophisticated models, Posit Cloud has doubled the maximum computing resources available for RAM (32GB), CPUs (8), and Background Execution Time (96 hours).
Python Data Science at posit::conf(2023). We are excited about all our Python workshops are posit::conf this year.
posit::conf(2023) is our conference for all things open source data science. Join us in Chicago Sept 17-20. With two days of workshops, and two days of talks and community. Learn more at pos.it/conf.