おすすめツイート
Excited to share @UUtah PhD student Emma Marshall's presentation from #CNG2025! Learn how to demystify cloud-native geospatial datacube workflows with @xarray_dev and @zarr_dev. ▶️youtu.be/Fxx5qUxJrm0
Check out our new API for seasonal aggreggations, including support for custom seasons! `ds.resample(time=SeasonResampler(["DJF", "MAM", "JJAS", "ON"]).mean()` and `ds.groupby(time=SeasonGrouper(["DJFM", "MAMJ", "JJAS", "SOND"]).mean()` xarray.dev/blog/season-gr…
xarray.dev
Ergonomic seasonal grouping and resampling
Introducing new SeasonalGrouper and SeasonResampler objects
Read about our plans to accelerate Xarray adoption in the biological sciences, funded by a @ChanZuckerberg EOSS grant! xarray.dev/blog/xarray-bi…
xarray.dev
Accelerating Biological Analysis with Xarray
A discussion of how Xarray fits into Biological analysis workflows
Our friend's over at @zarr_dev made a big release today! Xarray v2025.01.1 was also released today with full support for Zarr-Python 3 🚀
🎉 Zarr-Python 3 is here! 🎉 - Full support for Zarr v3 spec - Chunk-sharding for more efficient data storage - Major performance boosts with async I/O & parallel compression 💻 pip install --upgrade zarr Blog post: zarr.dev/blog/zarr-pyth…
Calculating quantiles, a common application in #geospatial workloads, used to be slow due to GIL contention in NumPy. The new implementation in @dask_dev + @xarray_dev is up to a hundred times faster and scales independently of the number of threads 🥳. docs.coiled.io/blog/array-qua…
At AGU I talked to NASA people about how agencies could better support open-source tools they rely on. I argued that our recent collaboration between Xarray and NASA ESDIS on xarray.DataTree was a good model to copy - read about how it happened here! xarray.dev/blog/datatree
xarray.dev
Xarray x NASA: xarray.DataTree for hierarchical data structures
The new xarray.DataTree class allows working with netCDF/Zarr groups, brought to you in collaboration with NASA!
Read about the latest improvement to GroupBy.map with Dask: xarray.dev/blog/dask-detr… Thanks to Patrick Hoefler of @CoiledHQ for the great work here!
xarray.dev
Improving GroupBy.map with Dask and Xarray
Recent dask improvements make GroupBy.map a lot better!
Come learn about recent @xarray_dev GroupBy improvements at tomorrow's (Wed, Nov 13) Pangeo Showcase! discourse.pangeo.io/t/pangeo-showc…
xarray.DataTree is @xarray_dev's first major new data structure since it's initial release baxk in 2014!
Xarray v2024.10.0 has just been released, including support for xarray.DataTree and zarr-python v3 !!! github.com/pydata/xarray/… @xarray_dev @zarr_dev
github.com
Release v2024.10.0 · pydata/xarray
This release brings official support for xarray.DataTree, and compatibility with zarr-python v3! Aside from these two huge features, it also improves support for vectorised interpolation and fixes ...
Xarray v2024.10.0 has just been released, including support for xarray.DataTree and zarr-python v3 !!! github.com/pydata/xarray/… @xarray_dev @zarr_dev
github.com
Release v2024.10.0 · pydata/xarray
This release brings official support for xarray.DataTree, and compatibility with zarr-python v3! Aside from these two huge features, it also improves support for vectorised interpolation and fixes ...
Beyond stoked to be sharing Icechunk with the world today! A new open source, transactional cloud-native storage engine for ND arrays, built on @zarr_dev. Check it out! 👇👇👇
🚀 We are thrilled to announce the release of the Icechunk storage engine, a new open-source library and specification for the storage of multidimensional array (a.k.a. tensor) data in cloud object storage. Read our blog post about Icechunk here: earthmover.io/blog/icechunk
Xarray + Zarr just got a big upgrade! 🧊
🚀 We are thrilled to announce the release of the Icechunk storage engine, a new open-source library and specification for the storage of multidimensional array (a.k.a. tensor) data in cloud object storage. Read our blog post about Icechunk here: earthmover.io/blog/icechunk
🎉
At long last Xarray can now group by multiple arrays. The culmination of 3 years of on/off work xarray.dev/blog/multiple-… Try it!
#TutorialTuesday The @xarray_dev ecosystem now supports data cubes with vector geometries as coordinate locations. Learn how to leverage vector data cubes for #geospatial analysis. earthmover.io/blog/vector-da…
The @xarray_dev data model now supports vector data cubes! 🎉 Check out our blog post discussing + demonstrating this exciting development. Thank you to Xvec and others across the OS community for their work making this possible! 👏earthmover.io/blog/vector-da…
Register below 👇 for Vector Data in @xarray_dev and @zarr_dev . We'll demo how to build & use vector data cubes in Arraylake by ingesting GeoParquet vector data and ERA5 reanalysis data from publicly available cloud object storage. bit.ly/3WDkgtu
Triple @pangeo_data sprint going on today at @SciPyConf ! We've got groups working on @xarray_dev -DataTree, Cubed, and @zarr_dev VirtualiZarr all sat together!
Eni Awowale and @lucassterzinger from @NASA_GESDISC presenting on how they use @xarray_dev 's new DataTree functionality for organizing HDF files with many groups! Wonderful to collaborate directly with @NASA on #opensource for science!
It has been fascinating to learn how widely used @xarray_dev is in fintech--and I'm not talking about weather quants. Turns out that most analysis-ready market data is fundamentally multidimensional, rather than tabular. This is what 5 years of @DowJones data look like in…
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