#jupyter — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #jupyter, aggregated by home.social.
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Over the last couple of months I had to do a lot of number crunching in order to write some #designdocs. While writing such docs is always useful, I recently added a lot to the fun-dimension with #Jupyter and #DuckDB 😅 This might be useful to others, so here's a quick summary of my setup with a simple example: https://zerokspot.com/weblog/2026/05/03/simple-data-analysis-setup/ #blogged
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If you're hosting a workshop and considering hosting JupyterHub to allow people to get hands on with code without the hassle+time sink of self-installation, I've put together a guide covering a self-hosted way to do this: https://fluids.rocks/posts/tljh/
I held a workshop for #pyrolite back in 2024 and tried doing this with a VPS but had a bunch of trouble getting a beefy node for the 40 odd people without having some history with the major cloud players (one even banned and deleted my account for 'suspicious activity' without explanation). Have been frustrated since, so glad to be able to demonstrate an alternative for where you do have some hardware lying around.
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TKFDM Coffee Lecture | Online
On January 28th, 2:00–2:30 PM (CET), Jupyter@NFDI4ING will be presenting the NFDI4ING JupyterHub as part of the TKFDM Coffee Lecture series.
In this short and focused talk, you’ll get an overview of how the NFDI4ING JupyterHub supports research and engineering workflows and enables collaborative, reproducible work with Jupyter.
👉 Join us online and take a break with insights into research infrastructure: https://t1p.de/vv9pr
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Spyder 6.1 will come with an assorted array of cool features, and the one we’d like to mention today is no less impressive:
JupyterHub support!! 🤯🥳🥰
Yeah! As long as your JupyterHub server includes our own extension, you'll be able to easily use it to run your code! 💪
🧐 You just need to ask IT to install our Jupyter server extension: https://github.com/spyder-ide/spyder-remote-services
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I just killed our last #JupyterHub #GKE Project in my $DAYJOB. Our #Jupyter compute environments are now all fully on prem.
#Python #DataScience #Kubernetes #Baremetal #RStats #RStudio
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Lonboard - Python Library For Fast, Interactive Geospatial Vector Data Visualization In Jupyter
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https://developmentseed.org/lonboard/latest/ <-- shared resource
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“Building on cutting-edge technologies like GeoArrow and GeoParquet in conjunction with GPU-based map rendering, Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface…”
#GIS #spatial #mapping #python #gpu #code #opensource #lonboard #redraw #vectordata #maprendering #bigdata #pythonlibrary #library #codelibrary #visualisation #Jupyter -
Lonboard - Python Library For Fast, Interactive Geospatial Vector Data Visualization In Jupyter
--
https://developmentseed.org/lonboard/latest/ <-- shared resource
--
“Building on cutting-edge technologies like GeoArrow and GeoParquet in conjunction with GPU-based map rendering, Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface…”
#GIS #spatial #mapping #python #gpu #code #opensource #lonboard #redraw #vectordata #maprendering #bigdata #pythonlibrary #library #codelibrary #visualisation #Jupyter -
Lonboard - Python Library For Fast, Interactive Geospatial Vector Data Visualization In Jupyter
--
https://developmentseed.org/lonboard/latest/ <-- shared resource
--
“Building on cutting-edge technologies like GeoArrow and GeoParquet in conjunction with GPU-based map rendering, Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface…”
#GIS #spatial #mapping #python #gpu #code #opensource #lonboard #redraw #vectordata #maprendering #bigdata #pythonlibrary #library #codelibrary #visualisation #Jupyter -
Lonboard - Python Library For Fast, Interactive Geospatial Vector Data Visualization In Jupyter
--
https://developmentseed.org/lonboard/latest/ <-- shared resource
--
“Building on cutting-edge technologies like GeoArrow and GeoParquet in conjunction with GPU-based map rendering, Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface…”
#GIS #spatial #mapping #python #gpu #code #opensource #lonboard #redraw #vectordata #maprendering #bigdata #pythonlibrary #library #codelibrary #visualisation #Jupyter -
Lonboard - Python Library For Fast, Interactive Geospatial Vector Data Visualization In Jupyter
--
https://developmentseed.org/lonboard/latest/ <-- shared resource
--
“Building on cutting-edge technologies like GeoArrow and GeoParquet in conjunction with GPU-based map rendering, Lonboard aims to enable visualizing large geospatial datasets interactively through a simple interface…”
#GIS #spatial #mapping #python #gpu #code #opensource #lonboard #redraw #vectordata #maprendering #bigdata #pythonlibrary #library #codelibrary #visualisation #Jupyter -
An Ensemble Digital Terrain Model Of The World At 30 Metre Spatial Resolution (EDTM30)
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https://medium.com/nerd-for-tech/an-ensemble-digital-terrain-model-of-the-world-at-30-m-spatial-resolution-edtm30-b4fcff38164c <-- shared technical article
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https://doi.org/10.5281/zenodo.7634679 <-- shared paper
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#GIS #spatial #mapping #remotesensing #elevation #30m #Ensemble #TerrainModel #EDTM30 #terrain #model #modeling #DTM #global #opensource #opendata #canopy #analysis #spatialanalysis #python #jupyter #jupyternotebook #geomorphometry #3dmodel #3D #3Ddata #DEM #height #XYZ #gischat