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IPython-parallel
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pydata_sv_2013
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Next: 5 Bayesian Machine Learning & Python – Naïve Bayes
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Marks
Author(s):
Min Ragan-Kelley
Location
A2
Date
mar Mon 18
Days Raw Files
Start
10:45
First Raw Start
10:46
Duration
01:30:00
Offset
0:01:45
End
12:15
Last Raw End
12:17
Chapters
00:00
0:26:25
1:25:54
Total cuts_time
88 min.
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IPython is a great tool for doing interactive exploration of code and data. IPython.parallel is part of IPython that enables interactive exploration of parallel code, and aims to make distributing your work on local clusters or AWS simple and straightforward. The tutorial will cover the basics of getting IPython.parallel up and running in various environments, and how to do interactive and asynchronous parallel computing with IPython. Some of IPython's cooler interactive features will be demonstrated, such as automatically parallelizing code with magics in the IPython Notebook and interactive debugging of remote execution, all with the help of real-world examples.
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