10 Python Tricks For #DataAnalysis by @Python_Dv #DataScience #BigData
→ View original post on X — @ronald_vanloon, 2026-04-10 20:58 UTC
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10 Python Tricks For #DataAnalysis by @Python_Dv #DataScience #BigData
→ View original post on X — @ronald_vanloon, 2026-04-10 20:58 UTC
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Order your Macintosh now. Minis and Studios sold out for months. By the time it arrives the OpenSource models will be a lot better than now.

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Large Language Model Abstraction! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #NLProc #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/LLM-Abstraction
→ View original post on X — @gp_pulipaka, 2026-04-10 20:00 UTC

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#DataScience Vs #Data Engineering by @Python_Dv #BigData #DataScientist
→ View original post on X — @ronald_vanloon, 2026-04-10 18:19 UTC
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Norm (my OpenClaw) is famous! https://
cnn.com/2026/04/10/tec
h/apple-mac-mini-ai-openclaw
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What You’ll Find Inside
— AI Highlight (@AIHighlight) 10 avril 2026
– Thousands of AI and cloud courses created by Google Cloud experts, researchers, and educators
– Hands-on labs you can complete directly in your browser
– Complimentary cloud credits to experiment and build real projects
– Built-in AI coding… pic.twitter.com/vbRpbWrl8D
What You’ll Find Inside – Thousands of AI and cloud courses created by Google Cloud experts, researchers, and educators – Hands-on labs you can complete directly in your browser – Complimentary cloud credits to experiment and build real projects – Built-in AI coding assistance powered by Gemini – Industry-recognized certificates that strengthen your résumé
→ View original post on X — @aihighlight, 2026-04-10 15:47 UTC
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Here’s how it works:
— AI Highlight (@AIHighlight) 10 avril 2026
go to https://t.co/7TPiB6NYo3, choose a learning path, complete interactive labs using real Google Cloud tools, and earn shareable skill badges along the way. pic.twitter.com/oMyOSGCcyt
Here’s how it works: go to http://
skills.google, choose a learning path, complete interactive labs using real Google Cloud tools, and earn shareable skill badges along the way.

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In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,…), the real differentiation for you and your company (and what makes you successful) will be how you manage to train, run and optimize AI models yourself. That's why at Hugging Face, we're doubling down on enabling more to become AI builders rather than AI users. We're releasing this week Kernels on the Hugging Face hub. This repo type is for the hardcore AI engineers among you. Kernels are collections of optimized binary operations where hardware providers support is a first-class citizen: – CUDA – ROCm – Apple Silicon – Intel XPU Expect to see more of this repo type on Hugging Face in the coming days. Featured here: the Flash Attention kernel from @sgl_project team ❤️
→ View original post on X — @clementdelangue, 2026-04-10 15:23 UTC

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Really interesting: New analysis from @EpochAIResearch on the Iran war's impact on AI: tl;dr The Hormuz shutdown hit 20% of global LNG and ~33% of helium supply, but chipmaking margins are so high that fabs can absorb massive cost spikes. US data centers are insulated from the energy shock entirely. The real risk however: Gulf investment flows drying up as oil revenue drops and geopolitical risk rises, plus direct threats to projects like Stargate UAE. Bottom line: a prolonged conflict slows the buildout at the margins but won't derail it, unless the war escalates dramatically. And this is the real danger. Epoch AI (@EpochAIResearch) The Iran War and Hormuz shutdown have disrupted oil, gas, and helium exports and threatened data centers and investments in the Gulf states. @justjoshinyou13 explores how a prolonged Iran war could affect AI, and why it probably won’t completely derail the compute buildout. — https://nitter.net/EpochAIResearch/status/2042599307493384520#m
→ View original post on X — @kimmonismus, 2026-04-10 14:12 UTC
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Exponential quantum advantage in processing massive classical data Zhao et al. : https://
arxiv.org/abs/2604.07639 #ArtificialIntelligence