Bane Sullivan

archived: Twitter isn’t cool anymore, find me elsewhere

visualization geek & software engineer. Helped create #PyVista.

[Rowan Cockett 🦋 @rowancockett]

PyVista integration in @MystMarkdown at #SciPy2024. @SciPyConf

[Thomas Martin @ThomasM_geo]

If you do a lot of #numpy in your day to day scientific work, it's time to give #JAX a shot. Almost a like for like drop in replacement for numpy, with 40-60% speedups (on CPU). A short benchmark is below:
https://t.co/FvhUogJUqo

[Bane Sullivan @banesullivan]

#GeoVista by @billjameslittle continues to impress!! Fantastic demo of how #PyVista can handle global datasets with cartographic projections https://t.co/lH9ACTbeJC

[Rob Simmon @rsimmon]

Using GDAL for data visualization. Wherein I try to explain the difference between "imagery" and "data", with the help of two radically different pictures of the same place with the *exact* same instrument: https://t.co/wpXNaDYVx9

[Bane Sullivan @banesullivan]

Loved seeing @billjameslittle share GeoVista for #cartographic #3D #visualization as an @SciPyConf lightning talk!! ⚡️ #PyVista #VTK

[Bane Sullivan @banesullivan]

We've published a demo here: https://t.co/XnaqcVjWzo

[Bane Sullivan @banesullivan]

#PyVista v0.40 has arrived! So many new features to try out. My favorite: embedding #3D visualizations in #Python documentation with sphinx-gallery https://t.co/O6gyiqup7K

[Bane Sullivan @banesullivan]

@zzsylvester @BasinResearch Awesome!! What software are you using for the 3D viz?

[Bane Sullivan @banesullivan]

Not all COGs are COGs. Learn more about Cloud Optimized GeoTIFFs and some of the challenges my team at @Kitware faced. #cog #geospatial #CloudNative #geotiff
https://t.co/f4trQfqSOt

[Qiusheng Wu @giswqs]

I am very honored to be featured in the 1st edition of “Geoawesome People in EO”. Thank you @geoawesomeness for featuring me 🌎

https://t.co/LAugtHmdk0

#geospatial #eo #opensource

[Bane Sullivan @banesullivan]

@JuliusBusecke PyVista+VR is one of my longest running, yet incomplete side projects… this might just motivate to finally push it

[Bane Sullivan @banesullivan]

Wrote up a little blog on why I created #localtileserver for #geospatial #visualization of raster data in #jupyter
https://t.co/mov9Ckpp37

[Bane Sullivan @banesullivan]

@PKG_SE @Kitware It should be recorded by @SciPyConf for viewing after

[Bane Sullivan @banesullivan]

📣 We’re having a "3D Visualization with PyVista" 4-hour tutorial at #SciPy this July!

We'll showcase the forefront of 3D visualization with #VTK and #PyVista — such as diving into using @Kitware's #Trame for #Jupyter and web #3D #visualization

https://t.co/xAxTNWwOAu

[Jan-Hendrik Müller @kolibril13]

I'm excited to share a first glimpse of jupyter-tldraw! This project will bring the whiteboard @tldraw to @ProjectJupyter. 1/4

[Matt McCormick @[email protected] @thewtex]

and Best Practices for Communication of Project, Resources, Governance, and Culture

https://t.co/65PMUM1Buy

[Bane Sullivan @banesullivan]

Happy valentines day to all you #Python #Jupyter coders! Love, #PyVista
#3D #visualization #heart

[Bane Sullivan @banesullivan]

@ThomasM_geo @rafaelotinoco @IsamarCortes1 In Python? Enter #PyVista

import pyvista as pv
import numpy as np
a = np.arange(-1.4,1.4,0.02)
X,Y,Z = np.meshgrid(a, a, a)
F=((X**2)+(9/4)*(Y**2)+(Z**2)-1)**3-(X**2)*(Z**3)-(9/80)*(Y**2)*(Z**3)
volume = pv.wrap(F)
heart = volume.threshold(0, invert=True)
heart.plot(color='red')

[Bane Sullivan @banesullivan]

@emiliano_santin @Kitware Most definitely can!

[Bane Sullivan @banesullivan]

We've been working hard @Kitware to build a new #Jupyter #3D viewer for #PyVista built on #Trame. I think this takes 3D visualization in Jupyter (and the web) to a whole new level. https://t.co/51fQ0ddoB4
#Python #visualization #vtk

[Qiusheng Wu @giswqs]

#Leafmap now supports visualizing raster datasets in #AWS SageMaker Studio Lab and SageMaker EC2 notebook instance, including locally stored raster datasets, Cloud Optimized GeoTIFF (#COG), #STAC. Try it out:

Notebook: https://t.co/KT0aKcLuV0

#geospatial #dataviz