Posit Videos

Posit Team is a bundled offering of our most popular products including Posit Workbench, Posit Connect, and Posit Package Manager.

If you’ve ever struggled with standardizing machine learning workflows, ensuring secure data access, or scaling insights across your organization, this Posit Team Workflow demo is for you.

Consistent company branding in your reports and apps (with your logo, colors, and fonts) can help make your work look more professional, but are often tricky to get right.

This workflow demo highlights a suggested framework for organizing and presenting the essential facts about a deployed machine learning model, using the vetiver packages for both R and Python and model cards.

Many of us learned to work with data on our laptop, but at work data is increasingly stored in databases. Join us with Sara Altman, who leads us through building a Shiny app that reads from and writes to a database - using DuckDB.

This end-to-end workflow makes it easier to implement models and scale insights across your organization using Posit and Snowflake.

This workflow demonstrates how to save time by dynamically creating PDFs using Quarto and Shiny, while also showcasing the beautiful possibilities Typst offers for PDF design.

The Connect team joined us for a demo on inheriting data-level permissions using Posit Connect and Databricks Unity Catalog. While this workflow uses Databricks to illustrate federated data access controls, this same methodology can also be applied to Snowflake or any external data source that supports OAuth.

Editable tables are a recently developed feature for Shiny for Python, allowing the table itself to become an input value, so your app can react to—and use—the data your user enters.

Isabella Velásquez demonstrates a streamlined workflow for handling frequently updated datasets in Shiny. You'll see how to simplify your process for keeping dynamic data current and how to reflect those changes in your app or dashboard.

Garrett Grolemund at Posit shows how to use both Posit and Databricks to apply machine learning methods to the consumer credit market, where accurately predicting lending rates is critical for customer acquisition.

Join Garrett Grolemund at Posit to learn how to theme and brand your own apps.

Winston Chang at Posit joined us to share a quicker and simpler way of writing Shiny applications in Python, called Shiny Express.

We were joined by Ryan Johnson for a session dedicated to enhancing teamwork.

Gordon Shotwell, Senior Software Engineer at Posit walks through an end-to-end machine learning workflow with Posit Team. This demo will give you a robust pattern for hosting and sharing models on Connect before you deploy them to a customer-facing system.

Simon Couch from the tidyverse team at Posit joined us to walk through an end-to-end machine learning workflow with Posit Team. 

The popularity of R and Python for Data Science is in no small part attributable to the vast collection of extension packages available for everything from common tasks like data cleaning to highly-specialized domain-specific functions. However, with that ease of sharing packages comes a larger target for bad actors trying to exploit them. We'll explore these security risks along with approaches you can take to mitigate them using Posit Package Manager.

Pins (both for R & Python) is a package that a bunch of people at the Data Science Hangout wish they knew about earlier. It allows you to publish and share objects (data, models, etc.) across projects and with your colleagues.

We’ll show you how to deploy company branded reports and schedule updates to be emailed out to your business stakeholders every day so you can get time back in your day.