Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bloscpack: a compressed lightweight serialization format for numerical
  data   This paper introduces the Bloscpack file format and the accompanying Python
reference implementation. Bloscpack is a lightweight, compressed binary
file-format based on the Blosc codec and is designed for lightweight, fast
serialization of numerical data. This article presents the features of the
file-format and some some API aspects of the reference implementation, in
particular the ability to handle Numpy ndarrays. Furthermore, in order to
demonstrate its utility, the format is compared both feature- and
performance-wise to a few alternative lightweight serialization solutions for
Numpy ndarrays. The performance comparisons take the form of some comprehensive
benchmarks over a range of different artificial datasets with varying size and
complexity, the results of which are presented as the last section of this
article.

21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics