So, where is the list stored?

Understanding Python list storage and memory layout

This is an easy foundational question about how Python manages memory for collections. It tests whether you understand the distinction between stack and heap allocation, and where mutable container objects live during program execution.

Questions like this often arise in technical interviews—especially at firms where candidates will later work with large datasets or optimize memory-heavy codebases. A solid answer requires knowing not just where the list object itself is stored, but also where the actual data elements reside and how Python's reference model works.

• Stack vs. heap allocation in Python
• Object references and the reference model
• Memory layout of built-in container types