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How do generators improve performance?

Junior Python
Quick Answer Generators use lazy evaluation - values produced one at a time on demand, not all at once. Memory efficient: a generator for 1 million numbers uses constant memory vs a list using millions of bytes. Pipelines: chain generators to process data step-by-step (like Unix pipes). yield pauses execution and returns a value; next() resumes from where it left off. Use for large files, infinite sequences, data pipelines.

Answer

Generators use yield for lazy evaluation.
Memory-efficient for large datasets.
Useful for pipelines and streaming data.
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