July 2019
Intermediate to advanced
296 pages
9h 1m
English
Content preview from Data Science with Python and Dask
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1 Why scalable computing matters
This chapter covers
- Presenting what makes Dask a standout framework for scalable computing
- Demonstrating how to read and interpret directed acyclic graphs (DAGs) using a pasta recipe as a tangible example
- Discussing why DAGs are useful for distributed workloads and how Dask’s task scheduler uses DAGs to compose, control, and monitor computations
- Introducing the companion dataset
Welcome to Data Science with Python and Dask! Since you’ve decided to pick up this book, no doubt you are interested in data science and machine learning—perhaps you’re even a practicing data scientist, analyst, or machine learning engineer. However, I suspect that you’re either currently facing a significant challenge, or you’ve ...
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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.