Pandas code is now 50x faster over standard pandas on Colaboratory after integration with RAPIDS cuDF. 🤯 At COMPUTEX 2024, NVIDIA CEO Jensen This is with zero code changes, and is available in the default runtime environment. Just add in %load-ext cudf.pandas over pandas

I’m heading to London this afternoon for PyData London. Who else is going to be there? It would be awesome to hang out with some internet folks in real life!

Attending #PyData London tomorrow? Join NVIDIA's Jacob Tomlinson and Andy Terrel from 9:00 a.m. BST. They will cover the fundamentals of writing accelerated code in Python. See how simple it can be to get your code running on a GPU. Learn more > nvda.ws/3XlVu3i

We had a great turnout at our “GPU Development in Python 101” tutorial yesterday at #pydatalondon2024. In case you missed it you can find all the materials here. The notebooks cover, ⁦RAPIDS AI⁩, ⁦Numba⁩, ⁦CuPy⁩ and more. github.com/jacobtomlinson…

Check out Jacob Tomlinson presenting at #EuroPython2024, in their words: "Writing GPU code in Python is easier today than ever, and in this tutorial, I will share what I’ve learned and how you can get started with accelerating your code. " ep2024.europython.eu/session/gpu-de… 🐍

Meet @_jacobtomlinson, who will be talking about accelerating your code with dask in HPC environments. Click below to get your conference tickets, or find more information: euroscipy.org/2024/tickets.h… #HPC #Scientific #Python #EuroSciPy24 #Dask #Conference #Talk

every feature without a test is broken (in my brain even if actually working) until it has a test

I'm not sure this is the best way to motivate maintainers to do something, especially in a big organisation like GitHub, but I like the effort! github.com/actions/runner…

Together with NVIDIA RAPIDS we bring GPU acceleration to Polars! Read more in our release blog: pola.rs/posts/gpu-engi…

Polars is rapidly growing in popularity so it's super exciting to see the RAPIDS and Polars teams collaborate to add GPU acceleration! You can expect a performance boost up to 13x compared to Polars on CPU on compute-bound queries. bit.ly/3zaeBnm

It's a big day of round numbers for kr8s today. 800 stars, just after I merged PR 500 which was the 400th commit to main! If you ever interact with a Kubernetes cluster in Python and you wish you had a more kubectl-like experience then check it out! github.com/kr8s-org/kr8s

kr8s is a simple, extensible Python client library with an API inspired by kubectl to reduce the developer learning curve ➜ github.com/kr8s-org/kr8s

Had a great time at the PyData NYC 🗽 sprints today! Looking forward to the rest of the conference.

Well kr8s is now officially the most starred project on GitHub that I started from scratch! It just overtook opsdroid. It took 8 years for opsdroid to get to this point, kr8s did it in just 18 months.

Today, PyData NYC 🗽 kicked off with a tutorial on GPU Accelerated Python! Numba, CuPy, and RAPIDS AI are all great ways to accelerate your code. Check out the full tutorial on the NVIDIA Accelerated Computing Hub to learn more: github.com/NVIDIA/acceler…

most CS grads don't know they can have global gitignore

Your Python, accelerated! Learn how to scale Python with GPUs at the budapest.py meetup on 2025-06-09 hosted by IseeQ. Jacob Tomlinson will teach you about RAPIDS and I'll present on Python kernel authoring. It's free but space is limited! meetup.com/budapest-py/ev…