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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40375 · 12/21/2025, 02:44 AM

After death, human microbes survive in soil and help break down the body. They work with soil microbes to speed up decomposition and recycle nitrogen, which plants need to grow. These microbes can live in the soil for months or years, turning dead bodies into nutrients that support new life. 🌱🦠💀 [Source] @googlefactss#Decomposition#Microbes#Soil#NitrogenCycle#Ecosystem