What is the memory usage of lists in Python?
In Python, the memory usage of a list depends on the number of elements and their types. Each list has an overhead, plus the memory for each element.
Can you explain the overhead in more detail?
Sure! The overhead is the fixed amount of memory that Python allocates for the list structure itself, which includes pointers to the elements.
How does the memory usage change with different data types?
Different data types consume different amounts of memory. For example, integers use less memory than strings or objects.
Is there a way to optimize memory usage for large lists?
Yes, you can use arrays from the 'array' module or NumPy arrays, which are more memory-efficient for large datasets.
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