June 2017
Beginner to intermediate
274 pages
6h 49m
English
Content preview from Daniel Arbuckle's Mastering Python
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Parallel Processing
In the previous chapter, we created a text mode utility program and you learned about several of Python's built-in packages. In this chapter, we're going to see how to use both the high-level concurrent.futures package and the lower-level multiprocessing package to help us write parallel programs. Both are part of the Python standard library.
We will cover the following two topics in detail:
- Using the concurrent.futures package
- Using multiprocessing packages
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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.