end of an era, for new project think seriously of using a new Dataframe Engine, there are plenty of choices, ibis will drop support for Pandas ibis-project.org/posts/farewell…

Ibis support is very rudimentary but you can connect to #microsoftfabric DWH, list catalog, run sql etc

Ibis is on the front page of Hacker News for dropping its support for the pandas backend. ibis-project.org/posts/farewell… Key reasons: 1. Pandas is painfully slow. 2. Pandas has a lot of specialized code that makes it less compatible with other data systems. 3. Feature parity:

running Ibis dataframe API using #Microsoftfabric DWH

ibis solved the sql dialect difference problem,as i can't write the same sql that both engines can understand

It's never been a better time to get involved with Ibis! If you need Python dataframes that work on the best local engines (DuckDB, ApacheDataFusion, polars data) and distributed/cloud platforms (Apache Spark, SnowflakeDB, ClickHouse, Trino), give us a try!

Incredible to hear ⁦Josh Patterson⁩ of ⁦Voltron Data⁩ at minute 30sh on ⁦Bloomberg⁩ discussing how we make #ai data centers massively more energy efficient and scalable with ⁦NVIDIA⁩ GPUs. omny.fm/shows/bloomber…

🔊 Just Aired! Our CEO Josh Patterson's interview on Bloomberg 🚀 In <10 min, Josh unpacks how Voltron Data harness @NVIDIA GPUs to accelerate compute, helping businesses “do more with less.” 🎧 Listen now, starting at 29:39: bloomberg.com/news/audio/202… 💡 Highlights include... -

no code transformations using marimo's mo.ui.dataframe and Ibis! Pass in any Ibis dataframe to mo.ui.dataframe to display a UI for different filters/transformations and get the filtered result back in Python. Plus, you can see the SQL statement generated by Ibis!

🚀 Heading to Oracle #CloudWorld 2024? Book a meeting with our execs Josh Patterson, Rodrigo Aramburu & Darren Haas on Sept 10-11. Spots are limited! airtable.com/appWDPBDUhIP0v… 📍 Visit us at Booth #115 for a deep dive into accelerated compute with @NVIDIA #GPUs. #OCW2024

We've increased the size of our NVIDIA A100 fleet for paid users by around 2x, and for the last several days we've seen 100% success rate for users requesting A100s.

New blog post on the fun new hardware advancements which databases can leverage for great gains, and why the cloud means it doesn't matter that they exist. 🫠 transactional.blog/blog/2024-mode…

First blog post in a long time! I started writing a post ~2 years ago on adventures counting 130M U.S. buildings by zipcode and finally circled back to write it up. Everybody is a winner really, but DuckDB Ibis , ApacheArrow, and GeoParquet were essential throughout!

Hi y'all, I'll be talking at #DuckCon on January 2025. I'll be sharing how to leverage the power of DuckDB's geospatial capabilities while staying within the Python ecosystem using Ibis . I’ll show you how to work with GeoParquet data and create nice maps in your laptop.

It’s done! 150,000 words, 200+ illustrations, 250 footnotes, and over 1200 reference links. My editor just told me the manuscript has been sent to the printers. - The ebook will be coming out later this week. - Paperback copies should be available in a few weeks (hopefully

During the process of writing AI Engineering, I went through so many papers, case studies, blog posts, repos, tools, etc. This repo contains ~100 resources that really helped me understand various aspects of building with foundation models. github.com/chiphuyen/aie-… Here are the

DLSS 4 is the biggest DLSS yet: 8X more efficient graphics for 4K 240Hz rendering 15/16 pixels generated by AI A new transformer based neural network dramatically upgrades image quality for Ray Reconstruction and Super Resolution. youtu.be/qQn3bsPNTyI

My 8000-word note on agents: huyenchip.com//2025/01/07/ag… Covering: 1. An overview of agents 2. How the capability of an AI-powered agent is determined by the set of tools it has access to and its capability for planning 3. How to select the best set of tools for your agent 4.

🚀 The Colab team collaborated closely with NVIDIA to deliver day 1 compatibility for NVIDIA cuML's Zero Code Change ML Acceleration. Now, you can experience significant speedups in your machine learning workflows in Colab with no code modifications! Example notebook below 👇

NVIDIA just open-sourced a high-throughput, low-latency inference framework for serving reasoning models like DeepSeek-R1! Introducing Dynamo, a framework designed for serving generative AI and reasoning models in multi-node distributed environments. 100% Open Source