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Community developed and owned ecosystem for scientific computing.
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Community Considerations Around AI Contributions
In this post, we explore the risks around and impact of AI contributions on our ecosystem, and how we, as a community, may agree upon common cultural norms and standards for integrating such technologies into contributor pathways and workflows.
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A Year of Typing: My NumPy Fellowship Retrospective
Posts from the Scientific Python community
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Can I volunteer to optimize scikit-image?
Hi all, I'm Saurabh, based in San Francisco, with experience building performance tools at Nvidia and ML models at Meta. For the past two years, I've been working on Codeflash-an automated performance optimizer for Pyt…
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