Researchers often find themselves coding algorithms in one programming language, only to have to rewrite them in a faster one. An up-and-coming language could be the answer.
%0 Journal Article
%1 noauthororeditor
%A Perkel, Jeffrey M.
%D 2019
%J Nature
%K julia programming
%P 141-142
%R 10.1038/d41586-019-02310-3
%T Julia: come for the syntax, stay for the speed
%U https://www.nature.com/articles/d41586-019-02310-3
%V 572
%X Researchers often find themselves coding algorithms in one programming language, only to have to rewrite them in a faster one. An up-and-coming language could be the answer.
@article{noauthororeditor,
abstract = {Researchers often find themselves coding algorithms in one programming language, only to have to rewrite them in a faster one. An up-and-coming language could be the answer. },
added-at = {2023-09-11T19:20:16.000+0200},
author = {Perkel, Jeffrey M.},
biburl = {https://www.bibsonomy.org/bibtex/2ec20a2191a631602cdc4530ed3376951/tabularii},
doi = {10.1038/d41586-019-02310-3},
interhash = {87b9217fbc20209a5a27cc7aed2a9d4c},
intrahash = {ec20a2191a631602cdc4530ed3376951},
journal = {Nature},
keywords = {julia programming},
language = {en},
pages = {141-142},
timestamp = {2023-09-11T19:20:16.000+0200},
title = {Julia: come for the syntax, stay for the speed},
url = {https://www.nature.com/articles/d41586-019-02310-3},
volume = 572,
year = 2019
}