July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Improving application performance using parallel techniques
In Chapter 11, Mathematical and Parallel Techniques for Data Analysis, we consider some of the parallel techniques available for data science applications. Concurrent execution of a program can significantly improve performance. In relation to data science, these techniques range from low-level mathematical calculations to higher-level API-specific options.
This chapter includes a discussion of basic performance enhancement considerations. Algorithms and application architecture matter as much as enhanced code, and this should be considered when attempting to integrate parallel techniques. If an application does not behave in the expected or desired manner, any gains from parallel ...
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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.