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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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Repositorio data science

@repo_science · Post #4259 · 12/08/2025, 03:46 AM

#SpringBoot#RESTAPI#BackendDevelopment#CodeWithMosh#Java#StripeIntegration#CloudDeployment#LearnToCode 🚀 Ready to take your backend skills to the next level? 🔗Spring Boot: Mastering REST API Development🎓 - Learn to build clean, secure RESTful APIs - Add authentication, role-based access, and JWT security 🔒 - Integrate Stripe for real payment processing 💳 - Deploy your app and database to the cloud ☁️ - Apply industry best practices for production-ready code 🛠 👉 Join now @repo_science and start building real-world projects like a pro!