January 2018
Beginner to intermediate
548 pages
12h 11m
English
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Performing out-of-core computations on large arrays with Dask
Dask is a parallel computing library that offers not only a general framework for distributing complex computations on many nodes, but also a set of convenient high-level APIs to deal with out-of-core computations on large arrays. Dask provides data structures resembling NumPy arrays (dask.array) and Pandas DataFrames (dask.dataframe) that efficiently scale to huge datasets. The core idea of Dask is to split a large array into smaller arrays (chunks).
In this recipe, we illustrate the basic principles of dask.array.
Getting ready
Dask should already be installed in Anaconda, but you can always install it manually with conda install dask. You also need memory_profiler, which you can install ...
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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.