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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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IELTS|Newspapers & Magazines｜English

@emagzinewspars · Post #9561 · 11/17/2025, 03:17 AM

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#The_Science🇺🇸📕[PDF]⬇️ 13 #November2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines This issue dives into breakthroughs reshaping biology and energy as researchers confront rising geopolitical limits. From #AI-driven epigenetics to #SyntheticBiology advances, the issue tracks how innovation pushes ahead despite tensions over China-US research ties. New micro-robots navigating the bloodstream and faster-charging batteries highlight a surge in #DeepTech momentum. Climate resilience, #PandemicPreparedness, and EU chemical reforms underscore global policy stakes. Studies on dog domestication, brown dwarfs, and marine recovery after extinction broaden the scientific lens. A reminder that #ScienceMatters even as politics shift—innovation continues to define our shared future. #TechNews#GlobalTrends#ResearchUpdates

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