Computer Science · NumPy
Unlike standard Python lists, why are NumPy arrays more memory-efficient and faster for mathematical operations?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1They do not support mathematical operations like multiplication or addition.
- 2They are homogeneously typed, meaning all elements are of the same data type and stored in contiguous memory.✓
- 3They are stored in non-contiguous memory locations.
- 4They can store multiple data types (strings, ints, floats) in a single array.
Correct answer
They are homogeneously typed, meaning all elements are of the same data type and stored in contiguous memory.
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