Working with Jupyter Notebooks in Positron: From Exploration to Production
Led by Cindy Tong & Wasim Lorgat at Posit
Join us on March 25, 2026, for a live enablement session on the new Positron Notebook Editor. We will demonstrate how to open your existing .ipynb files directly in Positron, with absolutely no conversion needed, and immediately start working in Python or R.
In this session, you will learn how to:
- Interrogate large, multi-column datasets without writing endless df.head() statements. You will see how to filter and sort visually using the Data Explorer, and then instantly convert those actions into reproducible code.
- Debug your notebook cells natively to track down errors faster.
- Use AI that actually understands the state of your environment to automate tasks and brainstorm next steps.
- Take your exploratory notebook, turn it into an application, and publish it directly to Posit Connect to share with stakeholders.
Whether you are a data scientist living in Jupyter every day, or a team leader looking for a more predictable tooling landscape, bring your questions and see what is possible when your notebook lives inside a data science IDE.
Featured in this demo
Cindy is a Product Manager for Posit’s Authoring Products. She joined Posit in 2025 and is based in NYC. Prior to Posit she worked across product, engineering and recruiting at American Express, the New York Times and various early-stage startups. Outside of work, you'll find her on the occasional ghost tour.
Wasim is a software engineer at Posit, where he leads the Positron Notebooks team and is a core contributor to Python integration and AI assistance in the Positron IDE. Previously, he was a core developer of nbdev and led data science teams across manufacturing and agriculture startups.
