📚 Ultimate Java for Data Analytics and ML (2024)

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🔥 Trending Repository: mcp-for-beginners

📝 Description: This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

🔗 Repository URL: https://github.com/microsoft/mcp-for-beginners

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💻 Programming Languages: Python - Java - Jupyter Notebook - TypeScript - C# - Rust

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📝 Description: All Algorithms implemented in Java

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💻 Programming Languages: Java - Dockerfile

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🔥 Trending Repository: koog

📝 Description: Koog is the official Kotlin framework for building and running robust, scalable and production-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

🔗 Repository URL: https://github.com/JetBrains/koog

🌐 Website: https://docs.koog.ai

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