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Source channel @githubtrending · Post #15123 · Sep 6

#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

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@kejiqu · Post #4116 · 01/31/2026, 01:44 AM

有人将 Apple 最令人恼火的 bug 变成了浪费人类时间的计分板 一个新网站将 Apple 最为持久的软件 bug 转化为一个幽默的计分板,利用夸张的数学计算来估算这些 bug 造成的集体人类时间浪费。该网站旨在以一种轻松的方式呈现 Apple 长期存在的软件问题,并量化其对用户的影响。9to5Mac 🏷#Apple#bugs#scoreboard#wasted#time 📢频道👥群组📝投稿