Replies: 8 comments
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Hi Bill, thanks! |
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Thanks Marco for the super fast response 🏃💨 If I have spare capacity, I'd love to be able to contribute to Do you have some super, super simple issues that I could try to contribute towards and move forwards? That might be a tangible and beneficial way for me to begin to understand what's going on under the awesome hood of |
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BTW please do close this issue now. Many thanks! 👍 |
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Thanks Bill for your interest! Obviously you're hired! :)
feel free to focus only on anything specific you like though! no pressure! :) PS: btw have you used |
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@bjlittle |
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Good luck with the release Marco 👍 Okay, thanks for the guidance, I'll try to make time to dip my toes 😉 I realise how valuable it is to have a fresh perspective... regardless of experience (clearly I'm spinning up and looking for an excuse to become more aware of VTK at a deeper level... yup, I'm a noob to VTK, I'm not going to pretend otherwise, but we've all got to start somewhere 😉) I'm particularly keen on using a VTK based technology that gives us interoperability between Python, either through the likes of your lovely My focus is meteorologically based cubed-sphere quad mesh analytics and visualisation. Matplotlib is super awesome, but sadly just doesn't scale for the high resolution meshes that I (and my team) want to work with i.e., quad meshes containing up to ~6.5-7M nodes. Hence the paradigm shift away from the likes of matplotlib to a technology that can leverage the obvious benefits of OpenGL and GPU acceleration. Hence why I've landed on your doorstep, so to speak. I started looking around the Scientific Python ecosystem for suitable packages about a year ago and So in summary, that's roughly the context of where I'm coming from, HTH. Since I've now got your attention... why the rebrand of |
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Thanks Bill for the info. from vedo import *
show(TessellatedBox(), Sphere(quads=True), N=2, sharecam=False)
i liked the name game with the 3d inverted e :) besides I didn't want it to be strictly linked to vtk in the name.
not at all, |
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This is an example of using pyvista to show a C48 cube-sphere Sea Surface Temperature timeseries interactively. C48 simply means 6 panels x 48 cells x 48 cells = 13,824 node mesh I'm keen to play with vedo to see what's the experience is like |
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Hey @marcomusy
Thanks for such an awesome package 🍻
Simple question: what is the minimum recommended OpenGL version required by
vedo
?Many thanks 👍
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