#jupyter — Public Fediverse posts

IOER FDZ Carto-Lab Docker v1.1.0 is released [1].

The main addition in this version is the integration of #JupyterGIS. It is a stunning project that brings a full web-based GIS suite directly into the Jupyter environment, complete with real-time collaborative editing for team projects [2].

I also expanded the documentation to cover advanced developer workflows. This includes new guides on persistent SSH client authentication for Git [3] and the templates I use for setting up automated, reproducible research pipelines [4].

Available via our Gitlab Chemnitz Registry (internal) and publicly via Quay.io:
https://quay.io/repository/ioer-fdz/carto-lab-docker?tab=info

#GIS #Jupyter #SpatialDataScience #ReproducibleResearch #Docker #RDM

@ioer

[1]: https://github.com/ioer-dresden/carto-lab-docker/releases/tag/v1.1.0
[2]: https://cartolab.fdz.ioer.info/jupytergis/
[3]: https://cartolab.fdz.ioer.info/use-cases/ssh-client-auth/
[4]: https://cartolab.fdz.ioer.info/use-cases/automated-research-setup/

@ioer

Die interaktiven Lehrmaterialien basieren auf dem mir bisher auch nicht bekannten Dokumentbeschreibungssprache Quarto

https://quarto.org/

die auf #Markdown aufsetzt und z.B. #Jupyter Notebooks integriert.

Das hat auch Ähnlichkeiten zu #LiaScript:

https://liascript.github.io/

Solved the riddle of how to get #ChatGPT #DataAnalyst into a #Jupyter notebook 🥳

Made a #Geospatial Assistant that reads a zipped #Shapefile and performs #DataAnalysis

Supported outputs so far: text, image, and html

Blog post coming up soon 👩‍💻

#GISChat

I love the idea of turning #Jupyter notebooks into slides. I've figured out most issues with rendering interactive plots 👩‍💻 but there is one thing I'm stuck with:

#GeoViews & #Datashader works great in a #notebook but is not not rendered in the slides

The output is: BokehModel(combine_events=True, render_bundle={'docs_json': {'8bb4dc3b-92b9-4d6e-9b03-060b443bfa47': {'defs': …

Any pointers much appreciated

#nbconvert #bokeh #geopandas #holoviz #hvplot #datascience #Dataviz #VisualAnalytics

Preparing demos for next week at #jupytercon. Here is a sneak peek (turn on the audio, best with headphones). See you there!

💨💨 🔊💨💨

#sonification #xarray #ipyleaflet #ipytone #jupyter

Preparing demos for next week at #jupytercon. Here is a sneak peek (turn on the audio, best with headphones). See you there!

💨💨 🔊💨💨

#sonification #xarray #ipyleaflet #ipytone #jupyter

Preparing demos for next week at #jupytercon. Here is a sneak peek (turn on the audio, best with headphones). See you there!

💨💨 🔊💨💨

#sonification #xarray #ipyleaflet #ipytone #jupyter

📣📝 My new paper on the state of #trajectory visualizations in #notebook environments is finally out

Featuring @movingpandas, #scikitmobility and more
with plots from #Folium, #GeoViews, #Matplotlib, and #KeplerGL

And it's open access: https://hw.oeaw.ac.at/?arp=0x003de7dd

#GIScience #DataScience #GISChat #Jupyter

Sharing an interactive tutorial on #earthquake #sonification that I built for high school students. It uses #trinket.io, #bokeh, and #HoloViews to introduce students to #python and waveform exploration. Links to #jupyter notebooks are attached to each module.

As a music nerd and fledgling #audiophile, this was such a fun project and fun way to explore seismic data!

Many thanks to Ben Holtzman for introducing me to the beauty of data sonification during my PhD 🔊

https://jbrussell.github.io/eilive2020/part2a_sonification/

Geographical Data Visualization in Jupyter Notebook

Dieses Wochenende soll ja warm und sonnig werden, daher habe ich heute nur ein kurzes Video-Tutorial herausgesucht, mit dem Ihr Euch beschäftigen könnt, falls es zu warm werden sollte: »Geographical Data Visualization in Jupyter Notebook«. Das Video nutzt #ipyleaflet, eine #Jupyter-Bridge für #Leaflet (BSD-Lizenz), der HTML5- und JavaScript Abstraktionsschicht zu diversen (auch freien) Kartenanbietern. http://blog.schockwellenreiter.de/2020/07/2020073102.html #Python #GIS

Geographical Data Visualization in Jupyter Notebook

Dieses Wochenende soll ja warm und sonnig werden, daher habe ich heute nur ein kurzes Video-Tutorial herausgesucht, mit dem Ihr Euch beschäftigen könnt, falls es zu warm werden sollte: »Geographical Data Visualization in Jupyter Notebook«. Das Video nutzt #ipyleaflet, eine #Jupyter-Bridge für #Leaflet (BSD-Lizenz), der HTML5- und JavaScript Abstraktionsschicht zu diversen (auch freien) Kartenanbietern. http://blog.schockwellenreiter.de/2020/07/2020073102.html #Python #GIS