The AI Web Search Landscape 🗺️ Here are my thoughts on the current AI web search landscape, AI search engines’ features and future, and a list of the AI search engines I’ve explored including @MistralAI @GeminiApp @ChatGPTapp @AnthropicAI @AIatMeta @brave @MSFTCopilot @doubaoAi

📣 Just announced: NetworkX accelerated by NVIDIA cuGraph is generally available, bringing speed and scale to the most popular #Python graph analytics library. 👀 Experience up to 500x speedups on large graph workloads in NetworkX with zero code changes. Tech blog ➡️

NetworkX from NVIDIA is one THE most popular Python graph analytics library with ~15K Github starts and 80M downloads monthly. This library is for working with networks and graphs. It helps analyze connections between things - like social networks, computer networks, or any

🙏 Thanks to everyone who attended the Scientific Python Developer Summit last week! We had a blast and accomplished so much work to enhance the ecosystem. 🚀 Looking forward to more collaborative successes! 🙌

If you are around @pycon this weekend, do checkout our @networkx_team talk with @eriknwelch on Saturday 🚀🚀🚀 https://t.co/MjaXspWluw

At #PyConUS, learn about the power of #GraphAnalytics and how to accelerate #NetworkX to extract information from data faster. 🎤Discussion with @networkx_team Mridul Seth and our own Erik Welch ➡️ https://t.co/EDOnHyXF8T 📆 May 18, 2:30-3 p.m.

RAPIDS brings BIG updates: v24.02 leans into CPU+GPU in RAFT's vector search, RMM host memory pinning, & zero code change NetworkX acceleration; XGBoost 2.0+cuML now available; & deploy it all on Databricks+Dask. Also, RAPIDS GTC24 sessions are scheduled!👉 https://t.co/AtNvfOYy2b

Happy Valentine's Day to your graph workflows!❤️Accelerate your Python graph analytics workflows with the new RAPIDS cuGraph backend for NetworkX. Check out @becker_data 's interview on Datanami & see how to drop your 2 hr+ process to a lovable < 1 min!

I learned so much from @eriknwelch's keynote at @pyconhk: How to accelerate NetworkX with GraphBLAS and cuGraph. Amazing work @eriknwelch @nvidia @RAPIDSai @networkx_team 🙌🙌🙌

Speed up your NetworkX workflows up to 600x on GPUs with the new nx-cugraph backend powered by @RAPIDSai. Learn more: 👇

If you were wondering how to make your network analytics code go 🚀🚀 on GPUs, come check out our recent work with folks from the @RAPIDSai team to dispatch @networkx_team code to CuGraph.

Great talk by @anacondainc Jim Kitchen and @nvidia @eriknwelch on python-graphblas: sparse linear algebra for graphs. ⚡ It speeds up NetworkX by 100 to 10000 times. 🔗Check out the project repo: https://t.co/CGqyJGPd2O @SciPyConf #SciPy2023 @networkx_team

Relationship insights: find someone who makes you a better person. I'm so grateful my partner makes me better every day. ♥️Happy Valentine’s Day♥️

NetworkX 3.0 is out! Test it out with pip install -U networkx (also on conda-forge). We have cleaned up a lot of deprecated code so do remember to update your projects! Checkout the release notes for more https://t.co/DOvLEEbnrN! We also have a new **experimental** feature!!

Speeding up graph algorithms in python by up to 21,000x. 🔥 via a NetworkX+@anacondoninc+@GraphBLAS collaboration: NetworkX (@networkx_team) performance boost using the python interface to SuiteSparse:@GraphBLAS. @pydata talk by @eriknwelch & Jim Kitchen

Bokeh 3.0 is out! 🎉✨ It includes: - New contour plots, - Restructured user guide, - Expanded gallery examples, - Layout engine overhaul, - Improved widgets and tools, - More accessible color palettes, and many more exciting features! Check it out: https://t.co/uV42kSJ4Ub

Hello, world! This is the official account for NetworkX! Follow us for news, info and content related to NetworkX! @scientific_py @NumFOCUS

Book club is such a good idea to do async on discord. Even if you don't read every book, it's nice to see and join the discussions!

Looking for a DS/ML/tech book club to join?🥰🤗😊 https://t.co/zAf3af9YYH

Building a Faster NetworkX-Like Library Using GraphBLAS by @eriknwelch #PyOhio2022