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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Statistically accurate benchmarking
The tools described in this chapter, particularly the @time macro, are useful to identify and investigate bottlenecks in our program. However, they are not very accurate for a fine-grained analysis of fast programs. If you want to, for example, compare two functions that take a few milliseconds to run, the amount of error and variability in the measurement will easily swamp the running time of this function.
Using Benchmarks.jl
The solution then is to use the Benchmarks.jl package for statistically accurate benchmarking. This package is not yet published in the official repository, but is stable and high-quality nevertheless. It can be installed with Pkg.clone("https://github.com/johnmyleswhite/Benchmarks.jl.git") ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.