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Source channel @githubtrending · Post #15459 · Feb 1

#rust#git#git_hooks#pre_commit prek is a faster, dependency-free alternative to pre-commit, built in Rust. You download a single binary with no runtime requirements, and it automatically manages Python versions and virtual environments for you. It runs multiple times faster than pre-commit while using half the disk space, shares toolchains between hooks, and supports parallel execution. prek is fully compatible with existing pre-commit configurations, includes built-in support for monorepos, and offers improved commands like running hooks on specific directories or last commits. Major projects like CPython, Apache Airflow, and FastAPI already use it, making it a reliable choice for streamlining your code quality checks. https://github.com/j178/prek

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​​Совсем лайтовая статья для новичков "10 главных конструкций языка R". Содержание: - Комментарии - Переменные и векторы - Внешние модули - Ввод и вывод - Присваивание и сравнение - Условный оператор if - Цикл for - Функции - Классы, методы и объекты #статьи #easy

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@githubtrending · Post #15433 · 01/23/2026, 02:30 PM

#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG