Ang AI for Beginners ay isang komprehensibong 12-linggong, 24-leksyon na kurikulum na sumasaklaw sa mga pangunahing kaalaman ng Artificial Intelligence. Ang repositoryong pang-edukasyon na ito ay naglalaman ng mga praktikal na leksyon gamit ang Jupyter Notebooks, mga pagsusulit, at mga hands-on na lab. Ang kurikulum ay sumasaklaw sa: Mga Pangunahing Teknolohiya: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (para sa quiz app) Arkitektura: Repositoryo ng pang-edukasyong nilalaman na may Jupyter Notebooks na nakaayos ayon sa mga paksa, na…
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AI for Beginners, Yapay Zeka temellerini kapsayan 12 haftalık, 24 derslik kapsamlı bir müfredattır. Bu eğitim deposu, Jupyter Notebooks, testler ve uygulamalı laboratuvarlar kullanarak pratik dersler içerir. Müfredat şunları kapsar: Anahtar Teknolojiler: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (test uygulaması için) Mimari: Konu alanlarına göre düzenlenmiş Jupyter Notebooks ile eğitim içeriği deposu, Vue.js tabanlı bir test uygulaması ve geniş çoklu dil desteği ile desteklenmiştir. Müfredat, Python ve Jupyter Notebooks ile çalışacak şekilde tasarlanmıştır. Önerilen yöntem miniconda kullanmaktır:
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AI for Beginners — це комплексна навчальна програма на 12 тижнів, що складається з 24 уроків, присвячених основам штучного інтелекту. Цей освітній репозиторій включає практичні уроки з використанням Jupyter Notebooks, тестів і лабораторних робіт. Програма охоплює: Основні технології: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (для додатку тестів) Архітектура: Репозиторій освітнього контенту з Jupyter Notebooks, організованими за тематичними областями, доповнений додатком тестів на основі Vue.js і підтримкою багатьох мов. Програма розроблена для роботи з Python і Jupyter Notebooks.…
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AI for Beginners ایک جامع 12 ہفتوں، 24 اسباق پر مشتمل نصاب ہے جو مصنوعی ذہانت کے بنیادی اصولوں کا احاطہ کرتا ہے۔ یہ تعلیمی ذخیرہ عملی اسباق، Jupyter Notebooks، کوئزز، اور عملی تجربہ گاہوں پر مشتمل ہے۔ نصاب میں شامل ہیں: اہم ٹیکنالوجیز: Python 3، Jupyter Notebooks، TensorFlow، PyTorch، Keras، OpenCV، Vue.js (کوئز ایپ کے لیے) آرکیٹیکچر: تعلیمی مواد کا ذخیرہ، Jupyter Notebooks کے ذریعے موضوعاتی علاقوں میں منظم، Vue.js پر مبنی کوئز ایپلیکیشن اور وسیع ملٹی لینگویج سپورٹ…
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AI for Beginners là một chương trình học kéo dài 12 tuần với 24 bài học, bao gồm các kiến thức cơ bản về Trí tuệ Nhân tạo. Kho tài liệu giáo dục này bao gồm các bài học thực hành sử dụng Jupyter Notebooks, bài kiểm tra và các phòng thí nghiệm thực hành. Chương trình học bao gồm: Công nghệ chính: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (cho ứng dụng kiểm tra) Kiến trúc: Kho…
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AutoGen is a multi-language framework for creating AI agents that can act autonomously or work alongside humans. The project has separate Python and .NET implementations with their own development workflows.
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goose is an AI agent framework in Rust with CLI and Electron desktop interfaces. The issue is the source of truth for work intended for an upstream pull request. Track issue status on the Goose Issues board. Maintainer-directed work, urgent security fixes, release automation, and local or exploratory changes do not require a Ready issue. goose is retiring its project-specific MCP server directory in favor of the official MCP Registry and its server.json format. See Discussion #10830 for the decision…
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IMPORTANT: The product name "goose" should ALWAYS be written in lowercase "g" in all documentation, blog posts, and any content within this documentation directory. This is a brand guideline that must be strictly followed. This rule applies to: - All markdown files in /docs/ - All blog posts in /blog/ - README files - Configuration files with user-facing text - Any other documentation content When editing or creating content in this documentation directory, always ensure "goose" uses a lowercase "g".
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This site covers using goose, the open-source agent application, and building applications with the goose Development Kit (GDK). Read the relevant documentation before writing commands, configuration, or code. Guides and Python/Kotlin references below are Markdown; native Rust APIs link to docs.rs. Use GDK's Rust crates to assemble an agent or call models directly. Python and Kotlin bindings expose providers and conversation compaction, not the full agent runtime. Use ACP to make the pre-built goose agent the backend for your application.
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Important: You review PRs immediately, before CI completes. Do not flag issues that CI will catch. Rust checks: - cargo fmt --check - Code formatting (rustfmt) - cargo test --jobs 2 - All tests - cargo clippy --all-targets -- -D warnings - Linting (clippy) Desktop app checks: - pnpm install --frozen-lockfile - Fresh dependency install (in ui/desktop/) - pnpm run lint:check - ESLint + Prettier - pnpm run test:run - Vitest tests Setup steps CI performs: - Installs system dependencies…
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Output: JSON with monthly_burn, runway_months, total_runway_dollars, quarterly_burn, and burn_rate_daily Remember: As Chief of Staff, you have access to financial data in the financial_data/ directory and can delegate specialized analysis to your subagents (financial-analyst and recruiter).
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A collection of Jupyter notebooks and Python examples for building with the Claude API. Or directly with uv: Notebooks have relaxed rules for mid-file imports (E402), redefinitions (F811), and variable naming (N803, N806). Branch naming: <username>/<feature-description> Commit format (conventional commits): These commands are available in Claude Code and CI:
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This is a comprehensive Jupyter notebook cookbook demonstrating Claude's Skills feature for document generation (Excel, PowerPoint, PDF). It's designed for developers learning to integrate Skills into their applications. Beta API Requirements: - All Skills functionality uses client.beta.* namespace - Required beta headers: code-execution-2025-08-25, files-api-2025-04-14, skills-2025-10-02 - Must use client.beta.messages.create() with container parameter - Code execution tool (code_execution_20250825) is REQUIRED - Use pre-built Agent skills by referencing their skill_id or create and upload your own via the Skills API Files API…
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Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.