GeoParquet 1.0.0 is released! Read all about it at cloudnativegeo.org/blog/2023/09/g… A big thanks to everyone who has contributed and adopted it before 1.0.0.

a lil sneak peak... rendering 3.2 million points from GeoPandas in 1 second 🚀

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

Live at Community Over Code in just under an hour! Kyle Barron kylebarron.dev on bsky, Joris Van den Bossche, myself, and many others worked hard to release the initial version of the spec + Python bindings. Read more to find out!

Along with Dewey Dunnington and Joris Van den Bossche 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

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 deck.gl with amazing performance. Fully binary. 🚀 github.com/geoarrow/deck.…

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. developmentseed.org/blog/2023-10-2… ds.io/lonboard

🎧🎧🎧 Turn it up. Our engine just dropped. voltrondata.com/theseus

Big day for us Voltron Data 🔥Our CEO Josh Patterson 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/theseus

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 RAPIDS AI ApacheArrow and so many more open-source libraries.

To everyone who ever asked me what Voltron Data actually does... Here you go! We finally answer the question!

Say hi to ‘Geocomputation with Python’! Our new blog post introduces the book about working with spatial data in Python. geocompx.org/post/2023/geoc… #geopython #python #geocompx #gischat

We are excited to announce a release candidate for #pandas 2.2.0 has just been released. If all goes well, we'll release #pandas 2.2.0 in about 2 weeks. Full list of changes and contributors: pandas.pydata.org/docs/dev/whats…

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. venturebeat.com/data-infrastru… For AI, GPUs are mostly

🔥 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:

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! euroscipy.org/2024/program.h…

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.

Joris Van den Bossche talking about GeoArrow at GeoPythonConf !

We are looking for an Xarray community developer to work at Earthmover to focus on building connections, both technical and social, between the Xarray project and the biomedical research community. jobs.gusto.com/postings/earth…

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 github.com/opengeospatial…