![]() ![]() We often talk about an array as if it were a grid in space, with eachĬell storing one element of the data. In computer programming, an array is a structure for storing and retrievingĭata. ![]() NumPy shines when there are large quantities of “homogeneous” (same-type) data Offer a high-level syntax for performing a variety of common processing tasks. These characteristics, we can improve speed, reduce memory consumption, and Need to be performed, other containers may be more appropriate by exploiting “heterogeneous”, meaning that they can contain elements of a variety of types,Īnd they are quite fast when used to perform individual operations on a handfulĭepending on the characteristics of the data and the types of operations that ![]() Python lists are excellent, general-purpose containers. are not part of theĬode and may cause an error if entered at a Python prompt. is input, the code that you wouldĮnter in a script or at a Python prompt. ![]()
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