Tom Nicholas @TEGNicholasCode
OSS for science, #python, @pangeo_data, @xarray_dev team. Ex-fusion, oceanography, now @_cworthy 🦋 https://t.co/4jprMBeckr github.com/TomNicholas New York Joined February 2020-
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Science needs a social network for sharing big data hackmd.io/@TomNicholas/H… by @TEGNicholasCode
We're moving over to BlueSky and LinkedIn for all our future announcements. Follow us at bsky.app/profile/pangeo… to find out more about tomorrow's showcase 😉 (p.s., it's on Xpublish at Scale at 4 PM EST 🚀) Connect with us on LinkedIn at linkedin.com/company/pangeo…
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…
🌤️ #AMS2025 is just around the corner! We are taking AMS by storm with an exhibitor booth (booth 353), two talks from @_jhamman and @rabernat , and hosting a @pangeo_data Community Happy Hour (register here: lu.ma/ddtba5f5)!
@rogercreel I'm there too! bsky.app/profile/tegnic…
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
@ladino_123 Thanks for your help @ladino_123 !
@alekpetty I'm hoping that virtual zarr datasets will make it easier to cloud-optimize data that was dumped in a bucket in a legacy format, and allow creating aggregated datasets with relevant derived information alongside it. github.com/zarr-developer…
Completely agree - "in theory" we have the simple scalability of the cloud, but in practice it's often a headache, for no good reason, which prevents adoption by most users (including many scientists)
New Post: Cloud Computing is Broken matthewrocklin.com/cloud-is-broke… Investor asks: "What's next for Data/Cloud Infrastructure?" My answer: "Boring stuff. People struggle with basics." Cloud feels like MP3 players before iPod. In theory everything is good. In practice adoption is low
@alekpetty Makes total sense. On (1) and (2) some intermediate services (e.g. Coiled, Modal) would like to sell you the solution to this, but it's annoying that NASA + AWS can't just get it right first time On (3) - is your data in the cloud at least? If not in cloud-optimized format?
@mouthofmorrison @rabernat @betolink @EarthmoverHQ @steadyflux That said, it isn't 100% clear that NASA's best move is to immediately convert 10000+ data sets into cutting edge ARCO formats. Kerchunk and Virtual Zarr offer benefits of ARCO while keeping data in the native formats.
@betolink @mouthofmorrison @rabernat @EarthmoverHQ It doesn't need to be duplicated if you use the VirtualiZarr/Kerchunk approach...
I'll also be there if you want to join me working on @xarray_dev , DataTree, or VirtualiZarr!
Are you heading to #AGU24 next month? Consider joining us for a bonus day of hacking on @pangeo_data. I'll be there representing @EarthmoverHQ and helping folks work with #icechunk and @zarr_dev. Details and signup here: discourse.pangeo.io/t/post-agu-pan…
Come learn about recent @xarray_dev GroupBy improvements at tomorrow's (Wed, Nov 13) Pangeo Showcase! discourse.pangeo.io/t/pangeo-showc…
@_JacobTomlinson @pydatanyc Oh I didn't know about this - I could have gone easily!
We've talked a lot about #Icechunk's performance this week 🚀. But the Zarr-Python 3 results are also very encouraging! We're a few weeks away from the 3.0 launch but what this chart shows is that the new AsyncIO + multi-threading functionality in Zarr is going to be really good.
ALSO this release is the first to be compatible with the much anticipated v3 implementation of zarr-python! (still on its beta branch right now) This brings big performance benefits when reading @zarr_dev on S3 via async and (b) compatibility with @EarthmoverHQ 's Icechunk.
All these integrations represent literally years-worth of effort, all coming out at once 🤯 And that's not even mentioning all the other changes you see in a typical xarray release!
ALSO this release is the first to be compatible with the much anticipated v3 implementation of zarr-python! (still on its beta branch right now) This brings big performance benefits when reading @zarr_dev on S3 via async and (b) compatibility with @EarthmoverHQ 's Icechunk.
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
Ryan Abernathey @rabernat
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