June 2015
Beginner to intermediate
292 pages
6h 16m
English
Content preview from Mastering MatplotlibBecome 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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Clustering with IPython
As explained in the IPython documentation for parallel computing, IPython has built-in support for parallelism. This came as a result of the architectural overhaul that IPython received when the project finished migrating to ZeroMQ in 2011. The architecture that resulted can be summarized with the following components, all of which are present in the IPython.parallel package:
- The IPython engine: This is a Python interpreter that accepts Python commands over a network connection. Multiple engines form the basis of IPython's parallel computing capabilities.
- The IPython hub: This is the process that keeps track of engine connections, schedulers, clients, task requests, and results. Its primary purpose is to facilitate queries ...
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