January 2018
Beginner to intermediate
548 pages
12h 11m
English
Content preview from IPython Interactive Computing and Visualization Cookbook - Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Distributing Python code across multiple cores with IPython
Despite CPython's GIL, it is possible to execute several tasks in parallel on multi-core computers using multiple processes instead of multiple threads. Python offers a native multiprocessing module. IPython's parallel extension, called ipyparallel, offers an even simpler interface that brings powerful parallel computing features in an interactive environment. We will describe this tool here.
Getting started
You need to install ipyparallel with conda install ipyparallel.
Then, you need to activate the ipyparallel Jupyter extension with ipcluster nbextension enable --user.
How to do it...
- First, we launch four IPython engines in separate processes. We have basically two options to do this: ...
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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.
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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.