Demystifying Python Generators and yield: A Deep Dive Under the Hood
Python’s generators and the yield keyword are powerful features that enable memory-efficient iteration and lazy evaluation. Unlike regular functions that return a single value and terminate, generator functions return an iterator object that pauses and resumes execution on demand, preserving local state across calls.[1][2][5] This comprehensive guide explores generators from basics to advanced internals, including how Python implements them under the hood. Whether you’re optimizing data pipelines or diving into CPython source mechanics, you’ll gain actionable insights with code examples and explanations grounded in official specs and expert analyses.[7] ...