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Which data structure occupies more memory: list or tuple? Why?

Python/Codingeasy0.3 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Tuple < List:** Tuple is immutable—no over-allocation for growth. Simpler storage. sys.getsizeof((1,2,3)) < sys.getsizeof([1,2,3]). Typical 10–20% smaller for same elements. **Why:** List has growth buffer; tuple fixed. CPython optimizes small tuples (interning)....

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Tuple < List: Tuple is immutable—no over-allocation for growth. Simpler storage. sys.getsizeof((1,2,3)) < sys.getsizeof([1,2,3]). Typical 10–20% smaller for same elements.

Why: List has growth buffer; tuple fixed. CPython optimizes small tuples (interning).

Production: Use tuple for fixed records (return values, dict keys), list for mutable collections. In pipelines: tuple for (id, value) pairs; list for accumulating results. Memory matters at 10M+ elements.

sys.getsizeof((1,2,3)) # ~48
sys.getsizeof([1,2,3]) # ~88

⚡
Pro Tip

Red Flag: Using list for immutable pairs (wastes memory). Pro-Move: 'We use tuple for (date, metric) keys—20% less memory in our aggregator.'

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