May 2018
Beginner to intermediate
364 pages
7h 43m
English
Content preview from Hands-On Data Science with Anaconda
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Creating a set of programs in R and Python
On numerous occasions, for a specific research topic, researchers will collect many datasets and write many programs. Why not write a big program? There are several reasons for not doing so. First, we might need several steps to finish the project. Second, the project might be too complex, so we have divided the whole project into several small portions. Each researcher will be responsible for one or a few portions. Third, according to the flow of the whole process, we might want to have several parts, such as devoting a part to processing data, a part to running various regressions, and a part to summarizing the results. Because of this, we need a way of putting all the programs together. In 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.