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Iterators & Generators

AdvancedAdvanced

The iterator protocol, generator suspension, yield from, lazy evaluation and streaming data pipelines.

14 lessons 4 labs 1 projects ~8h
Prerequisites: Advanced Python
0%track

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Iterators & the Iterator Protocol

An iterator produces values one at a time via __next__, raising StopIteration when it runs out — the single protocol every for loop, comprehension and unpacking in Python relies on.

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Generators & yield

A generator uses yield to produce values lazily, suspending its frame between values so each item is computed only when asked — an iterator you get almost for free.

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Why it matters

Interview importance 5/5 · production importance 4/5.

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Generators & yield

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Python 3 · FastAPI · AsyncIO · Data & AI engineering