Practical Recipes.
Real-world patterns and solutions for common functional programming tasks. Complete, runnable examples for error handling, data processing, I/O, and more.
Error Handling.
Learn how to handle errors functionally:
Validation
Validate data with composable validators. Build complex validation logic from simple rules.
Topics: Input validation, form validation, business rules, validation combinators
Recovery
Recover from errors gracefully. Provide fallbacks and alternative paths.
Topics: Error recovery, fallback values, alternative computations, graceful degradation
Retry
Implement retry logic for transient failures. Configure retry strategies.
Topics: Exponential backoff, retry policies, circuit breakers, timeout handling
Data Processing.
Transform and process data functionally:
Transformation
Transform data structures with map, filter, and reduce. Build data pipelines.
Topics: Data mapping, filtering, reducing, pipeline composition
Filtering & Mapping
Filter collections with predicates. Combine multiple filter conditions.
Topics: Predicate composition, complex filters, partition, takeWhile, dropWhile
Aggregation
Aggregate data with monoids and semigroups. Compute statistics and summaries.
Topics: Sum, product, min, max, average, grouping, statistical aggregation
Parsing
Parse structured data safely. Handle parsing errors functionally.
Topics: JSON parsing, CSV parsing, parser combinators, validation during parsing
I/O Operations.
Handle side effects and I/O functionally:
File Operations
Read and write files with proper error handling. Manage file resources safely.
Topics: File reading, file writing, resource management, bracket pattern, streaming
HTTP Requests
Make HTTP requests with retry logic and error handling. Build resilient API clients.
Topics: REST APIs, retry logic, circuit breaker, rate limiting, request composition
Parallel Tasks
Execute tasks in parallel safely. Coordinate concurrent operations.
Topics: Concurrency, worker pools, parallel map, race conditions, synchronization
Composition Patterns.
Compose complex operations from simple ones:
Dependency Injection
Inject dependencies using the Reader pattern. Build testable applications.
Topics: Reader monad, dependency injection, testing, mocking, service architecture
Pipelines
Build data processing pipelines. Compose operations with pipe and flow.
Topics: Pipe, flow, composition, data pipelines, transformation chains
Middleware
Create composable middleware for HTTP handlers. Build middleware stacks.
Topics: HTTP middleware, composition, logging, authentication, error handling
Testing Patterns.
Test functional code effectively:
Testing Pure Functions
Test pure functions with property-based testing. Verify function laws.
Topics: Unit testing, property-based testing, test generation, function laws
Testing Effects
Test effectful code with IO and IOEither. Mock dependencies and side effects.
Topics: IO testing, mocking, integration testing, test doubles, dependency injection