Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards new solutions for scientific computing: the case of Julia   This year marks the consolidation of Julia (https://julialang.org/), a
programming language designed for scientific computing, as the first stable
version (1.0) has been released, in August 2018. Among its main features,
expressiveness and high execution speeds are the most prominent: the
performance of Julia code is similar to statically compiled languages, yet
Julia provides a nice interactive shell and fully supports Jupyter; moreover,
it can transparently call external codes written in C, Fortran, and even Python
and R without the need of wrappers. The usage of Julia in the astronomical
community is growing, and a GitHub organization named JuliaAstro takes care of
coordinating the development of packages. In this paper, we present the
features and shortcomings of this language and discuss its application in
astronomy and astrophysics.

16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin