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Andrea Zonca

@zonca.bsky.social

High Performance Computing, Kubernetes, Python, Cosmology with Planck, now data pipelines for Simons Obs and CMB-S4. Staff at San Diego Supercomputer Center & consultant. he/him.

Posts Replies Media

Andrea Zonca @zonca.bsky.social · 29/09/2026

New post: A practical primer on software citation. A 7-step workflow for citing the software you use and a 5-step framework for making your software easy to cite, from the 2026 Software Citation Workshop at UCSD. www.zonca.dev/posts/2026-0...

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Andrea Zonca @zonca.bsky.social · 14/09/2026

New tutorial: color-code your AI agent terminal windows so ChromeOS Overview shows which agent is still working (gold) and which is done (green). www.zonca.dev/posts/2026-0...

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Andrea Zonca @zonca.bsky.social · 21/07/2026

PySM 3.4.6 is out, with two new FLAMINGO kinetic SZ presets: `ksz5` and `ksz6`. This notebook demonstrates the standard PySM workflow and compares them with WebSky and AGORA at 143 GHz. www.zonca.dev/posts/2026-0...

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Andrea Zonca @zonca.bsky.social · 22/04/2026

Sometimes the best visualizations come from a simple prompt. Created a Jupyter notebook that downloads SPT-3G D1 CMB power spectra and compares them with Planck 2018. See the transition from primary acoustic peaks to secondary anisotropies at high multipoles. Built with Sonnet 4.6.

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Andrea Zonca @zonca.bsky.social · 24/10/2025

Need a day off to recharge! (my GPT-codex limit) #AI

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Andrea Zonca @zonca.bsky.social · 08/10/2025

Vibe-coded a tool to create #Trello cards automatically when I post a #Github issue or PR in specific repositories, really useful!

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Andrea Zonca @zonca.bsky.social · 04/03/2025

New paper on Arxiv with the Panexperiment Galactic Science group about models of Galactic emission in the microwaves for Cosmic Microwave Background experiments: buff.ly/lAF52GC The models are available publicly through the PySM3 (Python Sky Model) software package: buff.ly/1EUPFbT

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Andrea Zonca @zonca.bsky.social · 20/10/2024

I'm always quite impressed by Github Copilot... the completion of this is exactly what I was thinking and it is not that straightforward, you need to understand the relationship between a beam and smoothing

@property
def includes_smoothing(self):

Copilot suggests:
return self.pre_applied_beam is not None

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Andrea Zonca @zonca.bsky.social · 20/09/2023

Interesting talk by Allan Wasega on improving the Documentation of JupyterHub using the Diataxis framework at JupyterCon www.youtube.com/watch?v=ETnb... diataxis.fr @projectjupyter.bsky.social

Diataxis framework schema showing the 4 different types of documentation: tutorials, how-to guides, technical reference and explanation

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