Generator functions allow you to define iterative algorithms with pausable execution. Here's how to use them effectively.
Basic Generator
Loading code block...
Yield Expression
Loading code block...
Infinite Sequences
Loading code block...
Yield Delegation
Loading code block...
Generator Methods
Loading code block...
Lazy Evaluation
Loading code block...
Async Generators
Loading code block...
State Machine
Loading code block...
Coroutines Pattern
Loading code block...
Iterator Protocol
Loading code block...
Pipeline Processing
Loading code block...
Best Practices
Use Cases:
✓ Lazy evaluation
✓ Infinite sequences
✓ Custom iterators
✓ State machines
Patterns:
✓ yield* for delegation
✓ for...of for consumption
✓ try/finally for cleanup
✓ Combine with async/await
Performance:
✓ Memory efficient iteration
✓ On-demand computation
✓ Process streams
✓ Handle large datasets
Avoid:
✗ When simple arrays suffice
✗ Overcomplicating logic
✗ Ignoring done state
✗ Memory leaks in infinite generators
Conclusion
Generator functions provide powerful control over iteration and execution flow. Use them for lazy evaluation of large datasets, creating custom iterators, implementing state machines, and managing async workflows. Combined with async/await as async generators, they enable elegant handling of streaming data and paginated APIs.