Join @cpcloudy for the Maintainers Summit at @pycon US on May 17th, 11:25am ET. Don’t miss his session “CI madness: testing 20 query engines on every commit.”
#PyConUS2024#IbisData
Join us at @pycon Our Ibis team is hosting a tutorial on May 15th at 1:30pm ET in Room 319.
Team: @gilforsyth, @jcristharif, @ncclementi and @cpcloudy
#PyConUS2024#IbisData
10 years of "it can't be done..." 7 @nvidia GPU architectures... 5 years of @RAPIDSai... 3 years of @VoltronData... finally a petabyte-scale GPU-native engine that DOESN'T require you to change your data pipelines. Same code, same data formats, just modular, interoperable, composable, extensible... and of course ACCELERATED!
Theseus is the Scalable Performant And Compute Efficient engine🔥🔥🔥
Check out our benchmarks and new webpage... and reach out if you're struggling with queries above 30TBs.
https://t.co/D5RTOs3GIe
🔥🔥🔥@IbisData 8.0 brings dedicated streaming backends for @ApacheFlink & @RisingWaveLabs! The portable Python #openstandards API should be in every data team's toolkit! Bridging local/distributed, then CPU/GPU, and now batch/realtime... epic! https://t.co/oshK96Nap8
Claypot AI is joining Voltron Data!
Over the past year, we've worked closely with the Voltron Data team on adding real-time capabilities to the composable data stack, including the first stream processing backend for Ibis—more to come on this very soon!
https://t.co/cZqJ0chJ2n
💥💥💥 We’re thrilled to welcome @chipro@ZhenzhongXu and the @ClaypotAI team to @VoltronData. Together we’re paving the way for our customers to process more data….on #GPUs…in realtime…at scale….faster.
@PeteCapeCod@digitalocean This has always been the case--or at least since 2020, when I started participating. If you see https://t.co/LpSaJD30hu, the rules may have actually changed at the start of Hacktoberfest 2020 (I can't recall), but the #hacktoberfest topic rule was definitely there even back then.
Kedro-Accelerator v0.3.0 now supports pipelines that use transcoding (thank you @alex_wellbelove for the contribution!). Next up: smarter Spark support.
To get started, pip install kedro-accelerator.
Comments? Questions? Thoughts? Suggestions? Check out https://t.co/qFPtRg68EA.
@chesscom What kind of feature is a "little known way to" lose the game? I was calculating 6. ... d4 7. Ne5--which is winning for me--to make sure that I wasn't missing anything, only to suddenly find that I've "abandoned." Had to hunt down https://t.co/kBHIF5thS6 after the fact.
Are you using #Kedro? Check out our recent updates bringing more stability, extensibility, and modularity for Kedro and a new layout engine for Kedro-Viz: https://t.co/c7aZoDInz5 #OpenSource
If support for #Kedro 0.17 and ParallelRunner were at the top of your Christmas list:
1. Not a PS5, really?!
2. Kedro-Accelerator v0.2.0 delivers! (albeit a couple days late)
To get started, pip install kedro-accelerator. For more information, check out https://t.co/qFPtRg68EA.
Kedro-Accelerator v0.1.0 is out!
Kedro-Accelerator is a #Python#plugin for #Kedro 0.16 that speeds up pipelines by parallelizing I/O in the background. Try the example today!
For more information, including sample benchmarks and how to get started, see https://t.co/qFPtRg68EA.
We look forward to collaborating further with @Element_AI as part of @McKinsey's further investment to unlock the potential of AI and machine learning to improve business performance.
We’re fans of @NumFOCUS. And now we’re proud to share that we have become a sponsor to help continue its work for the open-source data science community. #DataScience#OpenSource