[856-page PDF eBook] #Python Notes for Professionals, with code snippets, hints, and tricks: http://
books.goalkicker.com/PythonBook/
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#Coding #PyDev #Developers #DataScientist #MachineLearning #AI #DataScience #ComputationalScience #Simulation
COMPUTING
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Python Notes for Professionals: 856-Page eBook with Code Snippets
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Free Python Programming eBook: Practical Introduction for Data Science
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[Download 263-page PDF eBook] A Practical Introduction to #Python Programming: https://
brianheinold.net/python/A_Pract
ical_Introduction_to_Python_Programming_Heinold.pdf
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#DataScience #DataScientist #Coding #ComputationalScience #MachineLearning #ML -
4K Support Limitation in AI Hardware Products
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Awesome. My only hold up has been the lack of 4k support.
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US AI Compute Market Financialization Through Spot and Forward Contracts
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buried in @sriramk
's America's AI Action Plan is endorsement that the US compute market will financialize with spot and forward contracts. this podcast explains why this is so necessary, not just for speculation one of the most consistent themes with @latentspacepod
's GPU -
Qwen 3 Coder Uses 20,000 Cloud Environments for Reinforcement Learning
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I thought it was very notable that the recent Qwen 3 Coder announcement mentioned running 20,000 environments in Alibaba Cloud for RL: https://
qwenlm.github.io/blog/qwen3-cod
er/
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Best Local Models for Tool Use on macOS
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What's the best local model you've managed to run on macOS for tool use, and how did you run it? I've not had great results from those I've tried on Ollama – even for very basic things (single calls) they often seem to forget to call them or forget to answer based on the result
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Kahan Summation Algorithm in Numerical Computing
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Oh glad to see they mention kahan summation. Are you using that too?
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Stochastic Rounding: Technique and Experimental Results
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Haven't heard of stochastic rounding before. I think I can guess what that is and why it would work. But curious if there's a writeup somewhere with experimental results?
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Groq: American AI Stack Cornerstone with Full-Stack Deployment
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Groq is already a cornerstone of the American AI Stack. Our chips and systems are made in the United States and deployed globally to power real-world applications. The AI Action Plan rightly prioritizes full-stack deployment—and Groq is built to deliver it.
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Groq Supports US Administration’s AI Infrastructure and Export Initiatives
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Groq delivers the secure, scalable infrastructure at the heart of the American AI Stack. We fully support the Administration’s push to accelerate adoption, modernize infrastructure, and expand AI exports to trusted partners. Read our full statement: