November 2015
Intermediate to advanced
328 pages
10h 12m
English
Content preview from Parallel Computing for Data Science
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Chapter 1
Introduction to Parallel
Processing in R
Instead of starting with an abstract overview of parallel programming, we’ll
get right to work with a concrete example in R. The abstract overview can
wait. But we should place R in proper context first.
1.1 Recurring Theme: The Principle of Pretty
Good Parallelism
Most of this book’s examples involve the R programming language, an in-
terpreted language. R’s core operations tend to have very efficient internal
implementation, and thus the language generally can offer good perfor-
mance if used properly.
1.1.1 Fast Enough
In settings in which you really need to maximize execution speed, you may
wish to resort ...
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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.