GitHub
go-docker
Docker containerization for Go applications
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GitHub
go-kubernetes
Kubernetes operators and client-go development
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GitHub
go-grpc
Build gRPC services with Go - protobuf, streaming, interceptors
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GitHub
go-database
Go database operations - SQL, ORMs, transactions, migrations
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GitHub
go-fundamentals
Core Go programming concepts - syntax, types, interfaces, error handling
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GitHub
go-web-apis
Build production REST APIs with Go - handlers, middleware, security
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GitHub
go-testing
Go testing practices - unit tests, benchmarks, mocks, coverage
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GitHub
go-concurrency
Go concurrency patterns - goroutines, channels, sync primitives
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GitHub
go-modules
Go modules and dependency management
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GitHub
go-cli
CLI application patterns and best practices
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GitHub
llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
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GitHub
containerization
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
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GitHub
api-development
FastAPI, REST APIs, GraphQL, data service design, and API best practices
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GitHub
statistics-math
Statistics, probability, linear algebra, and mathematical foundations for data science
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GitHub
data-engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
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GitHub
data-warehousing
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
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GitHub
iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
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GitHub
python-programming
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
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GitHub
monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
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GitHub
career-growth
Portfolio building, technical interviews, job search strategies, and continuous learning
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GitHub
testing-quality
pytest, data validation, Great Expectations, and quality assurance for data systems
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GitHub
machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
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GitHub
sql-databases
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
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GitHub
nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.