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python-analytics
Python data analysis with pandas, numpy, and analytics libraries
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databases-sql
SQL database querying, optimization, and data management for analytics
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career-development
Data analyst career development, portfolio building, and professional growth strategies
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programming
Python and R programming for data analysis, automation, and reproducible analytics
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data-cleaning
Data cleaning, preprocessing, and quality assurance techniques
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digital-forensics
Digital forensics and malware analysis for evidence collection and investigation
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security-compliance
Security compliance frameworks and governance for regulatory adherence
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defensive-security
SOC operations, incident response, and threat detection for security monitoring
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cryptography
Cryptographic algorithms, protocols, and implementations for secure data protection
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offensive-security
Penetration testing, ethical hacking, and vulnerability assessment techniques for authorized security testing
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mobile-development
iOS (Swift, SwiftUI), Android (Kotlin, Compose), cross-platform (Flutter, React Native), and game development (Unity, Unreal).
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cloud-infrastructure
Cloud platforms (AWS, Cloudflare, GCP, Azure), containerization (Docker), Kubernetes, Infrastructure as Code (Terraform), CI/CD, and observability.
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GitHub
languages-frameworks
Expert guidance on 9 programming languages and 10+ frameworks. Compare, select, and master language ecosystems.
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emerging-tech
Emerging technologies (prompt engineering, AI agents, red teaming) and leadership roles (product manager, engineering manager, DevRel).
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core-development
Master core development paths - Frontend, Backend, Full Stack, DevOps. Atomic skill for learning sequences and technology stack recommendations.
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system-design
System design, software architecture, API design, cybersecurity, and threat modeling. Build secure, scalable systems.
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data-engineering
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
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languages
Master programming languages for backend development. Learn language selection, fundamentals, and ecosystem for JavaScript, Python, Go, Java, C#, PHP, Ruby, and Rust.
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api-design
Design and build professional APIs with REST, GraphQL, and gRPC. Master authentication, documentation, testing, and operational concerns.
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GitHub
microservices
Microservices architecture patterns and best practices. Service decomposition, inter-service communication, and distributed data management.
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architecture
Master architectural design with SOLID principles, design patterns, microservices, and event-driven systems. Learn to design scalable backend systems.
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authentication
Backend authentication and authorization patterns. JWT, OAuth2, session management, RBAC, and secure token handling.
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databases
Master relational and NoSQL databases. Learn PostgreSQL, MySQL, MongoDB, Redis, and other technologies for data persistence, optimization, and scaling.
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messaging
Message queues and event-driven backend architecture. RabbitMQ, Kafka, pub/sub patterns, and async communication.
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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。