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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Summary
In this chapter, we looked at the terminal I/O in Julia, and also accessed text-based and binary disk files. We discussed how to access and work with data stored in a structured manner in files such as CSV, XML, and HDF5 and then introduced the important topic of data arrays and data frames.
We then continued with a review of some statistical methods applied to data frames available from the RDatasets package, including elementary hypothesis testing and general linear methods.
Statistics has been a particular success within the Julia community and the extremely productive group JuliaStats is an excellent reference for this work, with its own web pages at https://github.com/JuliaStats and a Google Groups forum julia-stats. Also, many of the ...
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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.