Both GUI and CLI tutorials as well as ipynb - #36
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…sed for any project in general.
Adding the notebook for Ryr Demo dataset visualization
…ssary output cells
The notebook's VBox/ipywidget cells were rendering blank when viewed on
GitHub or exported to PDF, because widgets require a live kernel. This
moves the ~470 lines of inline plotting and widget-wiring code out of
Visualization_Notebook.ipynb into a new visualization.py module, and
adds a top-level INTERACTIVE switch:
INTERACTIVE = False → static plots (Plotly→PNG via kaleido + matplotlib)
that render on GitHub. Default for the shared notebook.
INTERACTIVE = True → live ipywidgets viewers (clickable S2 sphere, PrD
slider, ψ slider) for local use on user data.
Each substantive code cell collapses to a single `viz.show_*()` call.
A VizSession class owns the cross-cell widget state (sphere ↔ PrD slider
sync, CC voting recolouring the sphere diamonds) that previously had to
live as notebook globals.
Setup cell also pulls in kaleido (Plotly static-PNG export), h5py, and
pillow.
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This PR adds both GUI and CLI tutorials. The end of each links to the same jupyter notebook for more in depth analysis of the data.