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| Paper: |
Towards New Solutions for Scientific Computing: The Case of Julia |
| Volume: |
523, Astronomical Data Analysis Software and Systems XXVIII |
| Page: |
147 |
| Authors: |
Tomasi, M.; Giordano, M. |
| Abstract: |
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. |
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