Top Tweets for #Ipyvolume
Visualization: For 2D visuals @matplotlib + #seaborn is a great solution for small datasets (<10k). For large datasets (>100k) @plotlygraphs with their “Scattergl”. For 3D visuals, #ipyvolume is our choice: it provides lighting fast and responsive 3D plots. #DataAnalytics 4/4
Helping a @Panel_org get up and running with #Ipyvolume.
YES. Panel can now use the ipywidgets including ipyvolume which extends the power of Panel.
Check out the discussion https://t.co/LuSqfGw0ox
@ProjectJupyter #python #datascience
This weeks #ImageAnalysis tool is #Ipyvolume. IPyvolume is a Python library to visualize 3d volumes and glyphs (e.g. 3d scatter plots), in the Jupyter notebook, with minimal configuration and effort. https://t.co/UEg8CHHm7y
Finding more and more promising want-to-have features with #ipyvolume… like taking camera snapshots.
Hello @GoogleColab, do you have any plans on supporting #ipyvolume? It is one of the best libraries for visualizing 3D plots of large data volumes, thanks to @vaex_io. I am working with LiDAR data and I can not visualize the point cloud inside a Google Colab. It would be a boost!
When you rotate a vector (green), you also give it a spin (red, blue).
This is why 3x3 rotation matrices are isomorphic to SO(3) and not the sphere.
Also the reason you can land anywhere on earth from any direction.
(viz made with #ipyvolume)
#3Drotationgroup #SO3
⚠️ Spoiler alert: Thanks to Vasavan Thiru https://t.co/xQq3lle7fJ who added widget controls in #ipyleaflet the next version of ipyleaflet will be awesome! A widget control can be anything: a slider, a button, a minimap, an #ipyvolume plot, a #bqplot, an #ipysheet...
For what it's worth, you can put an #ipywebrtc video stream in an #ipyvolume 3-D plot on an #ipyleaflet map inside of an #ipysheet cell. If you were not convinced that #ipywidgets are powerful, I hope you are now 😁
Nice, my talk at @SciPyConf on #ipyvolume is rated the best #Jupyter talk, and #3 overall talk out of 709 talks. The great atmosphere at #scipy is a very important ingredient of it. https://t.co/wVvLc1MggC
Looking for an amazing job where you work with neuroimaging and 3D #dataviz with #ipyvolume and #vispy, checkout out this job description.
I am looking for a talented and enthusiastic engineer to work on 3D visualization in #Python. Where? with me at @inria in the @Parietal_INRIA team. Job desc.: https://t.co/NeY8iKzzuP #dataviz @mne_python #vispy #ipyvolume PLZ RT and contact me if interested.
I am looking for a talented and enthusiastic engineer to work on 3D visualization in #Python. Where? with me at @inria in the @Parietal_INRIA team. Job desc.: https://t.co/NeY8iKzzuP #dataviz @mne_python #vispy #ipyvolume PLZ RT and contact me if interested.
I just published “Multivolume rendering in Jupyter with ipyvolume: cross-language 3d visualization” https://t.co/Yzp4frnZ6e
A sneak peek of 3D plotting library #xvolume for #CPP in the @ProjectJupyter notebook, to enable interactive data science for C++. More to come at the #Berlin meetup on Tuesday!
https://t.co/uu1Yi1RJpA
Many thanks to @maartenbreddels and @Renou_Martin for collaborating!
Breaking #viz news: ipyvolume 0.5 is out. Multivolume rendering (a very hard problem!) is now available for @ProjectJupyter and has never been easier. Also includes many fixes, improvements and #pythreejs integration. #Python #Jupyter #ipyvolume #dataviz
https://t.co/d0sEod0kec
https://t.co/YxIv1iq74m #ipyleaflet #bqplot #ipyvolume #pythreejs #nglview #beakerx #ipympl #xwidgets
Great year for Jupyter Interactive Widgets with @plotlygraphs & @yt_astro adopting #ipywidgets for better integration with @ProjectJupyter, and a growing collection of custom widget packages. #ipyleaflet #bqplot #ipyvolume #pythreejs #nglview #beakerx #ipympl #xwidgets @SciPyConf
First experiments live plotting @rosorg pointclouds in @ProjectJupyter notebooks using @maartenbreddels cool #ipyvolume
Veille
https://t.co/BjMXivVnfC
#xtensor #Python #MachineLearning #BigData #flexbox #grids #css #dataviz #ipyvolume
guadatech: RT bultako: #ipyvolume
A billion stars in the Jupyter Notebook
quick+easy 3d interactive visualization… https://t.co/8rUeapuepA
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