发现 数据库 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Master programming languages from Python to Rust. Learn core concepts like variables, OOP, functional programming, algorithms, data structures, and competitive programming techniques. Use when exploring program...
Master specialized tech careers including Product Management, Engineering Management, DevRel, Technical Writing, QA, Blockchain, Game Development, Cybersecurity, and UX Design. Navigate multiple career paths be...
Master cloud platforms (AWS, GCP, Azure), containerization (Docker), orchestration (Kubernetes), infrastructure as code, CI/CD pipelines, and DevOps practices for deploying and managing scalable applications.
Master database design (SQL, NoSQL), system architecture, API design (REST, GraphQL), and building scalable systems. Learn PostgreSQL, MongoDB, system design patterns, and enterprise architectures.
Next.js App Router - Server components, layouts, routing patterns
Master modern web development. Learn HTML/CSS/JavaScript fundamentals, React/Vue/Angular frameworks, Node.js backend, databases, APIs, and full-stack architectures. Use when building web applications, learning...
Next.js deployment - Vercel, Docker, self-hosting strategies
Next.js API Routes - Route handlers, middleware, edge runtime
Next.js data fetching - Server actions, caching, revalidation
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
Master iOS, Android, React Native, and Flutter development. Build native and cross-platform mobile apps with modern frameworks, handle platform-specific features, optimize performance, and deploy to app stores.
Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
Build production-ready classification and regression models with hyperparameter tuning
Process and analyze text using modern NLP techniques - preprocessing, embeddings, and transformers
Build computer vision solutions - image classification, object detection, and transfer learning
Deploy ML models to production - APIs, containerization, monitoring, and MLOps
Linux system management - packages, services, users
Linux networking fundamentals - configuration, troubleshooting, security
Linux programming languages - installation, configuration, development
Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
Linux shell scripting mastery - Bash, automation, cron jobs
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。