Update Scipy 2026 tutorial website page

[VeckoTheGecko]

Let's use this PR to finalise the homepage. Mainly we still need to sort out the Schedule (and all the links to to individual notebooks etc).

Screenshot of the page (when first posting this PR)

cc @eni-awowale @keewis @ianhi

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[github-actions]

✅ Preview is ready!

	✅ Ready
	🔗 Preview https://xarray-contrib-xarray-tutorial-preview-pr-358.surge.sh
	📝 Commit	ce92c87
	⏱️ Build time	0.007s
	📦 Size	39.3 MB (+120.5 KB ⬆️) · 482 files
	🪵 Logs	View logs
	📱 Mobile

_{↩️ Previous: ⚡️ ce92c87 · xarray-contrib-xarray-tutorial-preview-pr-358.surge.sh (open ↗) · 2026-07-14 11:01:20 UTC}

_{🤖 Powered by surge-preview}

[VeckoTheGecko]

Only thing that we need to update now is the schedule - we can do that closer to the date :)

[keewis]

the table renders weirdly on github, but that might not be something we need to fix

[eni-awowale]

Tutorial TODO

• Understand xarray’s core data structures (probably can link either intermediate or the fundamentals) for the first two?

  • Named arrays and coordinates (Variable)
  • Groups of arrays with coordinates (DataArray and Dataset)
  • Hierarchical trees of related groups (DataTree) with some updates

• Understand how to load data from different formats as an Xarray object with different access patterns:

  • Overview on backends (Eni)
  • Zarr store in the cloud tutorial hierarchical zarr stores #361)
  • Rioxarray (rasterio) (Eni) Xarray's Rasterio Backend Tutorial #365
  • Your own custom backend engine with imageio simple backend engine for image formats #355 and Custom backend eni keewis keewis/xarray-tutorial#1
  • Icechunk (??)

• Catalogues: Intake and STAC (Nick) Add data cataloging tutorial #359

• How to use Xarray flexible indexes to make queries on the data once it is loaded

Feel free to edit this @VeckoTheGecko and @ianhi !

[VeckoTheGecko]

@eni-awowale is this still one of our learning goals?

• Understand how common storage formats correspond to the DataTree model

[VeckoTheGecko]

Continued in #369

(wanted to get this in main since the one in main was super outdated)