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| 1 | +--- |
| 2 | +title: "GeoJupyter core community meeting" |
| 3 | +description: | |
| 4 | + A monthly gathering of the GeoJupyter core community. Open to all! |
| 5 | +date: "2026-02-10" |
| 6 | +image: "../images/community-meeting.jpg" |
| 7 | +author: |
| 8 | + - name: "The GeoJupyter community" |
| 9 | +categories: |
| 10 | + - "Meeting notes" |
| 11 | +tags: [meeting-notes] |
| 12 | +--- |
| 13 | + |
| 14 | +# GeoJupyter core community meeting (2026-02-10) |
| 15 | + |
| 16 | +Please add new agenda items under the `New agenda items` heading! |
| 17 | + |
| 18 | +- [Join us on Zoom](https://berkeley.zoom.us/j/99659397059?pwd=519zZJlcAa1TCyJWRYyYbaYDfuaXNo.1) |
| 19 | + - [What time is the meeting in my time zone?](https://dateful.com/convert/utc?t=3pm) |
| 20 | +- [Previous meetings](https://compass.geojupyter.org/meeting-notes/) |
| 21 | +- [GeoJupyter](https://geojupyter.org) handy links: |
| 22 | + - [GitHub org](https://github.com/geojupyter) |
| 23 | + - [Community calendar](https://geojupyter.org/calendar.html) |
| 24 | + - [Zulip chat](https://jupyter.zulipchat.com/#narrow/channel/471314-geojupyter) |
| 25 | + |
| 26 | + |
| 27 | +## Attendees |
| 28 | + |
| 29 | +Your name / GitHub ID / affiliation / icebreaker |
| 30 | + |
| 31 | +* Matt Fisher / `@mfisher87` / Schmidt DSE |
| 32 | +* Esha / e5ha / UC Berkeley |
| 33 | +* Benny / benjaminszeghy / UC Berkeley |
| 34 | + |
| 35 | + |
| 36 | +### New agenda items |
| 37 | + |
| 38 | +- [ ] [jupyter-xarray-tiler](https://jupyter-xarray-tiler.readthedocs.io/) |
| 39 | + - The idea: A toolkit for developers of Jupyter interactive map widgets (ipyleaflet, leafmap, folium, ipyopenlayers) to add support for visualizing Xarray datasets without writing to a file (the typical approach). Uses TiTiler (maybe eventually xpublish-tiles) to serve map tiles. Uses jupyter-server-proxy to enable the JS map app to access the tiles regardless of where Jupyter is running ([needs testing](https://github.com/geojupyter/jupyter-xarray-tiler/issues/21)). |
| 40 | + - Is this a good idea? Leafmap currently [has tooling for visualizing Xarray datasets ](https://leafmap.org/common/?h=array_to_memory_file#leafmap.common.array_to_memory_file), but it seems to write the entire array to a memory file to make this work. Does the tiler approach work better on constrained systems (e.g. JupyterHub)? |
| 41 | + - Benny: E.g. on a 4GB JupyterHub instance, would the memory file approach crash the server? |
| 42 | + - Benny: Will find a huge raster for testing! |
| 43 | + - TODO: Compare with other approaches! https://github.com/geojupyter/jupyter-xarray-tiler/issues/22 |
| 44 | + - Esha & Benny: Will try some other approaches together tomorrow! |
| 45 | + - Demo |
| 46 | +- [ ] More clear onramps for new community members |
| 47 | + - Common question: "I want to get involved, but I don't know where to start!" |
| 48 | + - How can we better surface startable issues for new community members? |
| 49 | + - How can we better direct folks to this location :point_up: How can the website change to serve this need? |
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