Notebooks

A notebook is a web-based interface to a document that contains runnable code, visualizations, and narrative text.

This section describes how to manage and use notebooks. It also contains articles on creating data visualizations, sharing visualizations as dashboards, parameterizing notebooks and dashboards with widgets, building complex pipelines using notebook workflows, and best practices for defining classes in Scala notebooks.

• Manage notebooks
  • Create a notebook
  • Open a notebook
  • Delete a notebook
  • Copy notebook path
  • Rename a notebook
  • Control access to a notebook
  • Notebook external formats
  • Notebooks and clusters
  • Schedule a notebook
  • Distribute notebooks
• Use notebooks
  • Develop notebooks
  • Run notebooks
  • Manage notebook state and results
  • Version control
• Notebook-scoped Python libraries
  • Requirements
  • Enable %pip and %conda magic commands
  • Manage libraries with %pip commands
  • Manage libraries with %conda commands
  • Copy and reuse an environment
  • Interactions between pip and conda commands
  • Frequently asked questions (FAQ)
  • Limitations
• Visualizations
  • display function
  • displayHTML function
  • Visualizations by language
• Dashboards
  • Dashboards notebook
  • Create a scheduled job to refresh a dashboard
  • View a specific dashboard version
• Widgets
  • Widget types
  • Widget API
  • Configure widget settings
  • Widgets in dashboards
  • Use widgets with %run
• Notebook workflows
  • API
  • Example
  • Pass structured data
  • Handle errors
  • Run multiple notebooks concurrently
• Package cells
  • Package Cells notebook