generators

Generators

Memory-efficient iterables that produce values one at a time using the yield keyword. See Generator (computer programming) — Wikipedia.

yield vs return

• return sends a single value back and ends the function.
• yield produces a value and suspends the function, resuming from the same point on the next call.

Why use generators?

A list stores all values in memory at once. A generator computes each value on demand — essential for large or infinite sequences.

Covered

• Generator function with yield
• Generator expression (round brackets instead of square)
• Large range processing
• Infinite sequence
• Infinite Fibonacci sequence

Run

python generators.py