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Learn data science with Posit videos
Explore Posit’s video library for R, Python, and data science tutorials. Learn best practices, workflows, and techniques from our experts.
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Data science hangout
Peter Spangler
Join us with Peter at Toast to chat about marketing measurement and impact including...
Video
How to keep data up-to-date with 6 pins workflows (aka avoid data-final.csv & data-final-final.csv)
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.
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How to deploy a Shiny application using clinical trial data to Posit Connect
Open source is changing how drug development happens. Clinical teams are making better decisions, working through clinical trials more confidently, and bringing life-changing drugs to market faster. One way that teams are doing this is with Shiny.
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How to collaborate effectively with other data scientists (version control, project sharing, etc.)
We were joined by Ryan Johnson for a session dedicated to enhancing teamwork.
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How to schedule a Quarto document with custom branding on Posit Connect
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.
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How to mitigate package security risks with Posit Package Manager
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.
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How to build a model annotation tool with FastAPI, Quarto & Shiny for Python
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.
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How to train, evaluate, and deploy a machine learning workflow with tidymodels & Posit Team
Simon Couch from the tidyverse team at Posit joined us to walk through an end-to-end machine learning workflow with Posit Team.
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How to write and deploy a Python web app with Shiny Express and Posit Team
Winston Chang at Posit joined us to share a quicker and simpler way of writing Shiny applications in Python, called Shiny Express.