dc.contributor.author | Ryan, Dorothy | |
dc.date.accessioned | 2020-11-02T20:14:08Z | |
dc.date.available | 2020-11-02T20:14:08Z | |
dc.date.issued | 2019-03-12 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/128285 | |
dc.description.abstract | Programmers developing applications for fields as diverse as astronomy, economics, artificial intelligence, energy optimization, and medicine often found themselves creating software with languages that offered slow computation. But in this era of big data, dynamic, flexible, and easy-to-implement code is required for programmers to efficiently build high-performance software tools needed for intensive data analysis. Enter Julia, an open-source language for advanced technical computing and data science. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MIT Lincoln Laboratory | en_US |
dc.relation.ispartofseries | MIT Lincoln Laboratory News; | |
dc.rights | Attribution-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | * |
dc.subject | Lincoln Laboratory | en_US |
dc.subject | LLSC | en_US |
dc.title | Wilkinson Prize goes to developers of flexible Julia programming language | en_US |
dc.type | Article | en_US |