Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The NumPy array: a structure for efficient numerical computation   In the Python world, NumPy arrays are the standard representation for
numerical data. Here, we show how these arrays enable efficient implementation
of numerical computations in a high-level language. Overall, three techniques
are applied to improve performance: vectorizing calculations, avoiding copying
data in memory, and minimizing operation counts. We first present the NumPy
array structure, then show how to use it for efficient computation, and finally
how to share array data with other libraries.

28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th