Anyone have a chance to compare this to the odc-stac approach? ( @mdsumner.bsky.social 👀 ?)
Anyone have a chance to compare this to the odc-stac approach? ( @mdsumner.bsky.social 👀 ?)
But small win, recently made my first PR to JupyterHub fancy-profiles to add support for ARM architecture.
& now I have JupyterHub running on an NVIDIA DGX Spark (via k3s).
Also have CUDA/RAPIDS based image in rocker for python+R envs, rocker/cuda:arm64
But small win, recently made my first PR to JupyterHub fancy-profiles to add support for ARM architecture.
& now I have JupyterHub running on an NVIDIA DGX Spark (via k3s).
Also have CUDA/RAPIDS based image in rocker for python+R envs, rocker/cuda:arm64
events.berkeley.edu/BIDS/event/3...
@jupyter.org #UCOSPO #OpenSource #OpenScience
This release comes packed with major new features.
These updates make interactive geospatial analysis in Python smoother and more powerful than ever.
🔗 GitHub: github.com/opengeos/any...
📘 Docs: anymap.dev
#python #geospatial #jupyter #dataviz
This release comes packed with major new features.
These updates make interactive geospatial analysis in Python smoother and more powerful than ever.
🔗 GitHub: github.com/opengeos/any...
📘 Docs: anymap.dev
#python #geospatial #jupyter #dataviz
Of course, I had to try this out in R.
Check it out: all 242,000 US Census block groups dynamically served as vector tiles from a DuckDB database, displayed on a MapLibre map from R in Positron.
Of course, I had to try this out in R.
Check it out: all 242,000 US Census block groups dynamically served as vector tiles from a DuckDB database, displayed on a MapLibre map from R in Positron.
Visualized smoothly in 3D.
Instant population and housing totals from a lasso selection.
All running seamlessly in the browser, no traditional backend.
While everyone’s talking about AI, it’s an incredible time for geospatial tech.
Visualized smoothly in 3D.
Instant population and housing totals from a lasso selection.
All running seamlessly in the browser, no traditional backend.
While everyone’s talking about AI, it’s an incredible time for geospatial tech.
YES dear students, you are smarter than the bots. and now you know it too.
YES dear students, you are smarter than the bots. and now you know it too.
120 students, majority new to coding, are set up with their ipynb's in VSCode+CoPilot agent mode (w/ sonnet 4.5, GPT5-codex).
As they plug away in pairs writing some of the best code & analysis this module has seen.
remarkably little use of the bots!
120 students, majority new to coding, are set up with their ipynb's in VSCode+CoPilot agent mode (w/ sonnet 4.5, GPT5-codex).
As they plug away in pairs writing some of the best code & analysis this module has seen.
remarkably little use of the bots!
> they’re computer models trained on massive amounts of text to predict the next word in a sentence. What feels like empathy or validation is really just the A.I. chatbot echoing back language patterns that it’s learned.
> they’re computer models trained on massive amounts of text to predict the next word in a sentence. What feels like empathy or validation is really just the A.I. chatbot echoing back language patterns that it’s learned.
1. Ensure instructors have taken the Heat Illness Prevention Training in the UC Learning Management System.
teaching.berkeley.edu/resources/gu...
1. Ensure instructors have taken the Heat Illness Prevention Training in the UC Learning Management System.
teaching.berkeley.edu/resources/gu...
araffin.github.io/post/rl102/
araffin.github.io/post/rl102/
Claude: (proposes 2 worker-config)
Me: why two workers?
Claude: (queries resources)
Claude: "HOLY MOLY! Your cluster has nodes with 57TB of memory and 13,800 CPUs!"
Claude: (proposes 2 worker-config)
Me: why two workers?
Claude: (queries resources)
Claude: "HOLY MOLY! Your cluster has nodes with 57TB of memory and 13,800 CPUs!"
Nice overview at allenai.org/blog/asta
Nice overview at allenai.org/blog/asta