This directory contains in-depth, step-by-step tutorials designed to complement the concise scripts in /examples. While the examples demonstrate specific features quickly, the tutorials focus on progressive learning, real-world workflows, and best practices for using PyGWalker effectively.

• complete_tutorial.ipynb A comprehensive beginner-to-intermediate notebook covering:

  • environment setup and initialization
  • core chart types and interactions
  • data exploration workflows
  • real use cases (sales analytics, segmentation, experimentation)
  • performance tips and recommended patterns

This notebook is output-free to keep the repository lightweight, as interactive PyGWalker cells may generate large HTML payloads.