==========
User Guide
==========

This user guide introduces the core concepts, data structures, and workflows
used in ``pymovements`` for processing and analyzing eye-tracking data.
It is intended for students, researchers, and practitioners who want to move
from raw recordings to analysis-ready and reusable datasets.

The guide focuses on *conceptual understanding* and *transparent data
processing*, rather than step-by-step recipes.
Throughout this guide, we emphasize that there is no single "correct"
eye-tracking pipeline. Processing choices depend on research goals and data
quality, and each transformation introduces assumptions that should be made
explicit for reproducible analysis.


.. toctree::
   :maxdepth: 3

   getting-started/index
   experiment
   loading-gaze-data/index
   inspect-raw-samples
   data-quality
   event-detection
   work-with-datasets