#scipy2023 — Public Fediverse posts

A few hours hacking with the great @jni and here it is #napari cutting through 0.5 billion stars in the Milky Way, representing 7.3 TB, and stored by @Blosc2 into just 1.9 GB.

Video made with the cheapest MacBook in the market, and the best Open Source 🚀
#SciPy2023 #Sprints #ESAGaia #GaiaDR3

A few hours hacking with the great @jni and here it is #napari cutting through 0.5 billion stars in the Milky Way, representing 7.3 TB, and stored by @Blosc2 into just 1.9 GB.

Video made with the cheapest MacBook in the market, and the best Open Source 🚀
#SciPy2023 #Sprints #ESAGaia #GaiaDR3

A few hours hacking with the great @jni and here it is #napari cutting through 0.5 billion stars in the Milky Way, representing 7.3 TB, and stored by @Blosc2 into just 1.9 GB.

Video made with the cheapest MacBook in the market, and the best Open Source 🚀
#SciPy2023 #Sprints #ESAGaia #GaiaDR3

A few hours hacking with the great @jni and here it is #napari cutting through 0.5 billion stars in the Milky Way, representing 7.3 TB, and stored by @Blosc2 into just 1.9 GB.

Video made with the cheapest MacBook in the market, and the best Open Source 🚀
#SciPy2023 #Sprints #ESAGaia #GaiaDR3

It's sprint day of #SciPy2023! Fun with teams #xarray and #astropy so far. Now, post-lunch, we're ready for round two.

As always, stop by if you're in interested in the remaining swag.

@scipy2023

SciPy 2023 Presentation - Interactive Analysis of Satellite Imagery with #EarthEngine and #Geemap

YouTube: https://youtu.be/qd5alEojY50
Slides: https://bit.ly/scipy-gee

#geospatial #scipy2023 #opensource #dataviz

Happy after showing how real-time exploration of the Milky Way stars in an array cube of 7.3 TB can be done in a laptop with 8 GB RAM and 15 GB of free disk space thanks to #ESAGaia data and the magic of #compression via #Blosc2. Also shown how #Btune helps immensely in determining the best combination of filters and codecs for achieving best #performance or cratio.
Thanks to the attendees; it has been a great experience! #SciPy2023

Slides available at: https://www.blosc.org/docs/Exploring-MilkyWay-SciPy2023.pdf

Recording of the 4-hour #geemap workshop at the SciPy Conference 2023

YouTube: https://youtu.be/ZvuX56mKHAI
Notebook: https://geemap.org/workshops/SciPy_2023

#geospatial #EarthEngine #opensource #dataviz #SciPy2023

#zarr ❤️ :python: @ #scipy2023

Keep an eye out for the flag bearers of #Chunked #Compressed #CloudReady #NDim #Arrays

🌎🌋🦠🔬💉🌞🔭🛰️🚀💻

Excited to travel to #SciPy2023 to present our approach on how to explore efficiently the Milky Way by using the #gaia dataset and leveraging #compression. Also, I'll introduce #Btune (btune.blosc.org), an AI tool for improving the compression process without the headaches of trying the many combinations of filters and codecs that are possible in #Blosc2. Looking forward to see you if you are coming too!