Kapteyn Software @KapteynSoftware
Information about software provided by the Kapteyn Astronomical Institute. astro.rug.nl/software/ Groningen, the Netherlands Joined February 2010-
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Join us for the first @PyData #Groningen @Meetup, April 9 at @Belsimpel headquarters! Topic: Machine Learning: the Extreme & the Explainable. 2 great speakers, lightning talks, food & drinks. RSVP at meetup.com/nl-NL/PyData-G… #PyData #DataScience #Python
Playing with the @kaggle @TrackMl dataset and ipyvolume, try the live demo at @ProjectJupyter 's nbviewer nbviewer.jupyter.org/urls/gist.gith… #Python #dataviz #Kaggle
Really nice work from @maartenbreddels! (I'm using quiver.) github.com/maartenbreddel…
We're delighted to announce that Project Jupyter received the @TheOfficialACM 2017 Software System Award! Much 💖 to all the contributors and users who made this possible, this award honors the whole community: blog.jupyter.org/jupyter-receiv…
Blazing fast interactive exploration of 1.7 Billion #GaiaDR2 stars in the Jupyter notebook with vaex. github.com/maartenbreddel… #dataviz #Python
Globular clusters is blue-ish, dwarf galaxies in reddish. In the second animation you can see that two dwarf galaxies form a pair, and many orbit in somewhat the same plane, but not all!
Get some of the first #GaiaDR2 results from astro.rug.nl/~ahelmi/resear… 'The kinematics of globular clusters and dwarf galaxies around the Milky Way.' With the now known orbits of globular clusters and dwarf galaxies, we could make this animation (made with ipyvolume)
5) Has a #pandas like API, so not much to learn, and what your learn transfers to Pandas. The tutorial leans you 90% docs.vaex.io/en/latest/tuto….
4) Propagate the full covariance matrix with any transformation (vaex does this analytically and automatically). For instance ra,dec,parallax -> galactic x,y,z with full covariance matrix. Check the tutorial for details: docs.vaex.io/en/latest/tuto…
3) Common transformation built in: equatorial to galactic sky coordinates, sky coordinate + distance to cartesian, radial velocity and proper motions to cartesian or polar velocities and more. All transformations are using 'virtual columns', meaning they take ~0 memory.
2) Blazing fast & interactive plots: histograms, density maps, 3d volume rendering. In and outside the #Jupyter notebook.
1) Out of core dataframes means no memory issues working with over a billion rows, even on your laptop. Filtering (data cleansing) all done efficiently without memory copies. Data transformation done on the fly, using regular #numpy code (lazy magic!)
Top 5 reasons you want to use vaex for #Gaia #GaiaDR2 docs.vaex.io/en/latest/ Vaex provides lazy out of core dataframes for #Python.
Can you visualise 1billion stars in a Jupyter notebook? Yes you can! (you didn't expect a different answer did you?) @maartenbreddels talks about widgets, 3D plots, large datasets, the milkyway and VR youtu.be/bP-JBbjwLM8
Development for @glueviz leading to 3d selection landing in ipyvolume. Support for lasso/circle/rectangle and replace/and/or/subtract github.com/maartenbreddel…
Great to see the kapteyn package and astropy agree on coordinate transformations!
Great to see the kapteyn package and astropy agree on coordinate transformations!
Vaex: Big Data exploration in the era of Gaia [IMA] arxiver.moonhats.com/2018/01/10/vae…
Preprint is out! Lazy out-of-core pandas like DataFrames for Python, fast visualization (~1 billion rows/sec) and even some Machine Learning docs.vaex.io #bigdata #dataviz #python
Preprint is out! Lazy out-of-core pandas like DataFrames for Python, fast visualization (~1 billion rows/sec) and even some Machine Learning docs.vaex.io #bigdata #dataviz #python
github.com/maartenbreddel… is a pretty great way to render 3D data on a web page. Vispy still wins if you've got native code, though.
ipyvolume 0.4 is out, wireframe+mesh+much more #python #dataviz On conda-forge/pip and reached 500 stars on github. ipyvolume.readthedocs.io/en/latest/#cha…
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399 Followers 15 Following Twitter feed of the Kapteyn Astronomical Institute, University of Groningen, the Netherlands
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Hans Terlouw @HansTerlouw
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vaex @vaex_io
2K Followers 175 Following Out of core dataframes for Python, visualize and explore big tabular data at a billion rows per second. ML ready. https://t.co/GmNIpbuNlY @maartenbreddels @JovanVaex
Maarten A. Breddels @maartenbreddels
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