docker-networking
Configure Docker networking for containers including bridge, overlay, and service discovery
go-database
Go database operations - SQL, ORMs, transactions, migrations
go-concurrency
Go concurrency patterns - goroutines, channels, sync primitives
go-cli
CLI application patterns and best practices
go-performance
Go performance optimization - profiling, benchmarks, memory management
go-web-apis
Build production REST APIs with Go - handlers, middleware, security
go-kubernetes
Kubernetes operators and client-go development
go-testing
Go testing practices - unit tests, benchmarks, mocks, coverage
go-fundamentals
Core Go programming concepts - syntax, types, interfaces, error handling
go-grpc
Build gRPC services with Go - protobuf, streaming, interceptors
go-modules
Go modules and dependency management
go-cli-tools
Build production CLI tools with Cobra, Viper, and terminal UI
go-docker
Docker containerization for Go applications
graphql-resolvers
Write efficient resolvers with DataLoader, batching, and N+1 prevention
graphql-apollo-client
Build React apps with Apollo Client - queries, mutations, cache, and subscriptions
graphql-security
Secure GraphQL APIs - authentication, authorization, rate limiting, and validation
graphql-codegen
Generate TypeScript types and React hooks from GraphQL schemas
graphql-schema-design
Design production-grade GraphQL schemas with best practices and patterns
graphql-fundamentals
Master GraphQL core concepts - types, queries, mutations, and subscriptions
graphql-apollo-server
Build production GraphQL servers with Apollo Server, plugins, and federation
accessibility
WCAG 2.2 AA compliance, ARIA patterns, screen reader compatibility, and inclusive design patterns
forms
HTML5 forms, Constraint Validation API, accessible form patterns, and modern input types
semantic-html
Semantic HTML5 markup patterns for meaningful, accessible, and SEO-optimized content structure
html-basics
Core HTML5 elements, document structure, and foundational markup patterns
ios-data
Master iOS data persistence - SwiftData, Core Data, Keychain, CloudKit
swiftui-development
Master SwiftUI - Declarative UI, state management, animations, modern iOS development
app-store
Master App Store deployment - Submission, TestFlight, CI/CD, release management
ios-networking
Master iOS networking - URLSession, async/await, REST APIs, authentication
uikit-development
Master UIKit - Views, controllers, navigation, Auto Layout, animations
ios-fundamentals
Master iOS development foundations - Architecture, lifecycle, memory, concurrency
ios-testing
Master iOS testing - XCTest, UI testing, mocking, debugging, performance
kotlin-ktor
Ktor framework - routing, authentication, WebSockets
kotlin-spring
Spring Boot with Kotlin - controllers, services, coroutines
kotlin-serialization
kotlinx.serialization - JSON, Protobuf, custom serializers
kotlin-multiplatform
Kotlin Multiplatform - shared code, expect/actual, iOS integration
kotlin-coroutines
Kotlin coroutines - structured concurrency, Flows, exception handling
kotlin-dsl
Kotlin DSL - type-safe builders, Gradle DSL, @DslMarker
kotlin-compose
Jetpack Compose - composables, state, effects, theming
kotlin-di
Dependency Injection - Hilt, Koin, scopes, testing
kotlin-flow
Kotlin Flow - StateFlow, SharedFlow, operators, testing
kotlin-fundamentals
Kotlin language fundamentals - syntax, null safety, data classes, extensions
kotlin-testing
Kotlin testing - JUnit 5, MockK, Kotest, coroutine testing
kotlin-android
Modern Android development - Jetpack, Compose, Architecture Components
ml-deployment
Deploy ML models to production - APIs, containerization, monitoring, and MLOps
computer-vision
Build computer vision solutions - image classification, object detection, and transfer learning
nlp-basics
Process and analyze text using modern NLP techniques - preprocessing, embeddings, and transformers
supervised-learning
Build production-ready classification and regression models with hyperparameter tuning
ml-fundamentals
Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
deep-learning
Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices
clustering
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
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