Web Reference: The desired data-type for the array. If not given, NumPy will try to use a default dtype that can represent the values (by applying promotion rules when necessary.) Jan 12, 2026 · NumPy is a homogeneous data structure (all elements are of the same type). It is significantly faster than Python's built-in lists because it uses optimized C language style storage where actual values are stored at contiguous locations (not object reference). 4 days ago · array — Efficient arrays of numeric values ¶ This module defines an object type which can compactly represent an array of basic values: characters, integers, floating-point numbers. Arrays are mutable sequence types and behave very much like lists, except that the type of objects stored in them is constrained.
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