Joris Van den Bossche
@jorisvdbossche
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Open source #python developer and teacher. Pandas, GeoPandas and Shapely maintainer. Apache Arrow at Voltron Data Labs https://t.co/Qiwr1KItuh
Belgium
Joined December 2012
The @GeoParquet 1.1 revision is out, adding support for spatial partitioning and native GeoArrow geometries Both have potential to massively speed up working with very large geospatial datasets. Next step is ensuring the ecosystem works with this version https://t.co/m3MsGjnywE
github.com
GeoParquet 1.1.0 is our second stable release. There are two major additions to the specification: #191 introduces the bbox covering encoding which defines a way to add an extra column that repres...
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We are looking for an Xarray community developer to work at @EarthmoverHQ to focus on building connections, both technical and social, between the Xarray project and the biomedical research community. https://t.co/6WhMr51zfO
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Listen in for a discussion on what @GeoParquet solves and why you should (or shouldn't) consider using it! We cover how GeoParquet is cloud native, how its compression makes reading and writing faster, and how it integrates with GeoArrow for fast in-memory computing.
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Do you have a scientific project or tool that uses Python and that you would like to present in an audience that includes collaborators to projects like Scikit-Learn, Matplotlib, and Pandas? The call for proposals for EuroSciPy 2024 is open! https://t.co/LnHMN6Hz9S
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🔥 Already excited about Theseus? It gets better. 🔥 Dive deeper into what makes Theseus the ultimate choice for petabyte-scale data challenges with our bar-raising benchmarking report. See the proof of unparalleled performance & efficiency. 🚀 📊 Full report here:
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Claypot AI is joining Voltron Data! AI starts from data. By joining forces, we can further help companies leverage both batch and real-time data for AI applications, on top of Voltron Data’s GPU-native distributed engine Theseus. https://t.co/08gsngDbzx For AI, GPUs are mostly
venturebeat.com
With Claypot's technology and team, Voltron Data's modular data systems will get real-time capabilities, enabling users to target more applications.
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Say hi to ‘Geocomputation with Python’! Our new blog post introduces the book about working with spatial data in Python. https://t.co/E8lLjiEiev
#geopython #python #geocompx #gischat
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Big day for us @VoltronData 🔥Our CEO @datametrician just announced Theseus, an embeddable, accelerator-native data engine!!! Data preprocessing isn't keeping up with the performance of AI training! Theseus accelerates the FULL data system⏩ Learn more:
voltrondata.com
Discover how Theseus SQL Engine works, its architecture, and key features.
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To everyone who ever asked me what @VoltronData actually does... Here you go! We finally answer the question!
This has been years in the making. I’m humbled and honored to work with so many amazingly talented folks to build a truly scalable, accelerator-native compute engine, Theseus! 🔥🔥This wouldn’t be possible without @RAPIDSai @ApacheArrow and so many more open-source libraries.
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This has been years in the making. I’m humbled and honored to work with so many amazingly talented folks to build a truly scalable, accelerator-native compute engine, Theseus! 🔥🔥This wouldn’t be possible without @RAPIDSai @ApacheArrow and so many more open-source libraries.
Exclusive: Voltron Data brings new power to AI with Theseus distributed query engine
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Introducing lonboard: the fastest way to visualize large geospatial vector data from Python. Here's 3 million points rendered with a unique color and radius per point, in two seconds. https://t.co/huNmyLpAr5
https://t.co/qqNcujpWrd
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Published version 0.1 of the JavaScript geoarrow/deck.gl-layers library! Now it's just one function call to render a GeoArrow table in https://t.co/OQskk5siXN with amazing performance. Fully binary. 🚀 https://t.co/w4iWECKRgJ
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Along with @paleolimbot and @jorisvdbossche we tagged version 0.1 of the GeoArrow spec last week, and have started implementations in C, Rust, and Python! There's so much potential in a near future of sharing geodata across languages without copies
Got Geospatial data? Today, @paleolimbot is introducing GeoArrow at @ApacheCon. It plugs straight into existing @ApacheArrow-based systems to make #GeospatialData shine in data pipelines. #ComposableDataSystems #COC2023 Learn more: https://t.co/ErZT2kL1Za
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Live at @ApacheCon in just under an hour! @kylebarron2, @jorisvdbossche, myself, and many others worked hard to release the initial version of the spec + Python bindings. Read more to find out!
Got Geospatial data? Today, @paleolimbot is introducing GeoArrow at @ApacheCon. It plugs straight into existing @ApacheArrow-based systems to make #GeospatialData shine in data pipelines. #ComposableDataSystems #COC2023 Learn more: https://t.co/ErZT2kL1Za
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another sneak peak... once you've got your 3 million points on the map, explore different colormaps for your data in a fraction of a second. 🎨 This computes the colors in Python, so you can use whatever libraries you're familiar with
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a lil sneak peak... rendering 3.2 million points from GeoPandas in 1 second 🚀
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GeoParquet 1.0.0 is released! Read all about it at https://t.co/1BVq0Yu19T A big thanks to everyone who has contributed and adopted it before 1.0.0.
cloudnativegeo.org
The GeoParquet community is pleased to announce the release of GeoParquet 1.0.0.
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