Working with Jupyter Notebooks in Positron

Use Positron to navigate the complete data science lifecycle, from initial exploration to professional deployment on Posit Connect.
Play video Working with Jupyter Notebooks in Positron: From Exploration to Production

Table of Contents

  1. Working with Existing .ipynb Files
  2. Use Data Explorer to Interact with Data Visually
  3. Automate with AI
  4. Deliver to Stakeholders
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Working with Existing .ipynb Files

See how Positron handles your current notebooks with no conversion required.

 

Use Data Explorer to Interact with Data Visually

Move beyond df.head() and visually interrogate multi-column datasets with histograms, filters, and summary stats.

 

Automate with AI

See how Positron Assistant reads your active memory and dataframes to generate accurate code, rather than generic text suggestions

 

Deliver to Stakeholders

Learn the workflow for turning your exploration into an application published on Posit Connect)

 

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We host these Workflow Demos the last Wednesday of every month, and you can add them to your calendar with this link.