Content Library
Discover resources to power your data science journey
Explore the full Posit content library, from ebooks to webinars and reports, and learn how teams power data science with R, Python, and AI.
Explore our resources
Whitepaper
A Blueprint for Modern Data Science
Data science teams have long relied on R, Python, and open-source innovation to deliver insights. But many work in silos, with disconnected workflows and limited oversight—slowing delivery and increasing risk.
Whitepaper
A guide to Positron: The data science code editor
Learn how Positron unites the interactive power of RStudio with the modern efficiency of VS Code, creating a single, free, polyglot environment for R and Python.
Ebook
Accelerate compliant clinical trial reporting with open source
Clinical trial reporting is under pressure like never before. Timelines are shrinking, costs are rising, and compliance requirements are only getting stricter.
Ebook
Building a data science culture that ships models and meets Regulatory demands
Posit Product Marketing hosted insurance leaders Kshitij Srivastava, Adam Austin, and Jamie Warner to discuss the evolution of data science within heavily regulated industries.
Whitepaper
Empowering Data Science at Scale
See how Posit helps modern data science teams tackle the biggest challenges in interoperability, reproducibility, and collaboration, as highlighted in this DZone report.
Ebook
Enterprise AI-powered data science with Databricks and Posit
This eBook is a practical guide to building and deploying R and Python models faster.
Ebook
From Code to Client: The Consultant's Guide to Delivering Data Science
The complete guide to publishing, managing, and delivering your data science work with Posit Connect Cloud.
Whitepaper
From insight to impact: Faster
Learn why centralized, automated publishing is now essential for data teams, and how organizations use Posit Connect to deliver trusted analytical content from R and Python at scale.
Ebook
From spreadsheets to strategic decisions
Learn how banks, insurers, and asset managers are replacing legacy tools with governed, open-source data science platforms to accelerate AI and reduce risk.