November 2016
Intermediate to advanced
697 pages
14h 44m
English
Content preview from Julia: High Performance ProgrammingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 6. Scientific Programming
Julia was initially designed as a language directed to find solutions to the problems arising from science and mathematics. The current scripting languages then, and to some extent now, were slow especially when dealing with 'looping' code (devectorized) that is normally the algorithmic approach that the analyst will take in his/her blocked pseudo-coding.
This leads to the 'two-language' approach where analysis is made using the scripting language, whereas code needs to be compiled into a second language, usually C, in order to achieve enterprise performance.
Julia compiles its sources to the appropriate machine code using just-in-time compilation from LLVM and so achieves execution times comparable with those of ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.