Contents

Cookbook

Quick reference for common patterns.

• Parametrization
  • Switching from the command line
  • Dynamic parameters
• Report generation
  • HTML reports (easiest option)
  • PDF reports
  • Hiding code
  • Hiding cells
• Debugging
  • Executing task in debugging mode
  • Post-mortem debugging
  • Post-mortem debugging (debug later)
  • Breakpoints
  • Debugging in Jupyter/VSCode
• Logging
  • Function tasks
  • Scripts or notebooks
• Serialization
  • Resources
• Database configuration
  • Using SQLAlchemyClient
  • Using DBAPIClient
  • Configuring the client in pipeline.yaml
  • Examples
• Task grids
• Notebook Executors
  • Papermill(default)
  • Ploomber-Engine
• Custom pipeline loading logic
• Hooks (e.g., on_finish)
  • Tip: Developing hooks interactively
  • Resources
  • DAG-level hooks