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kotlin-flow
Kotlin Flow - StateFlow, SharedFlow, operators, testing
Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
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Explorer
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kotlin-di
Dependency Injection - Hilt, Koin, scopes, testing
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kotlin-serialization
kotlinx.serialization - JSON, Protobuf, custom serializers
GitHub
kotlin-android
Modern Android development - Jetpack, Compose, Architecture Components
GitHub
kotlin-fundamentals
Kotlin language fundamentals - syntax, null safety, data classes, extensions
GitHub
kotlin-multiplatform
Kotlin Multiplatform - shared code, expect/actual, iOS integration
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kotlin-testing
Kotlin testing - JUnit 5, MockK, Kotest, coroutine testing
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kotlin-compose
Jetpack Compose - composables, state, effects, theming
GitHub
kotlin-dsl
Kotlin DSL - type-safe builders, Gradle DSL, @DslMarker
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go-performance
Go performance optimization - profiling, benchmarks, memory management
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go-cli-tools
Build production CLI tools with Cobra, Viper, and terminal UI
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go-docker
Docker containerization for Go applications
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go-kubernetes
Kubernetes operators and client-go development
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go-grpc
Build gRPC services with Go - protobuf, streaming, interceptors
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go-database
Go database operations - SQL, ORMs, transactions, migrations
GitHub
go-fundamentals
Core Go programming concepts - syntax, types, interfaces, error handling
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go-web-apis
Build production REST APIs with Go - handlers, middleware, security
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go-testing
Go testing practices - unit tests, benchmarks, mocks, coverage
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go-concurrency
Go concurrency patterns - goroutines, channels, sync primitives
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go-modules
Go modules and dependency management
GitHub
go-cli
CLI application patterns and best practices
GitHub
llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
GitHub
containerization
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
GitHub
api-development
FastAPI, REST APIs, GraphQL, data service design, and API best practices
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.