October 2015
Beginner
200 pages
3h 56m
English
book
Learning IPython for Interactive Computing and Data Visualization, Second Edition
by Cyrille Rossant
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Further high-performance computing techniques
There are many other high-performance computing techniques than those covered in this chapter. The IPython Cookbook contains many more details. Here is an overview of some of these other techniques:
MPI
The Message Passing Interface, or MPI, defines communication protocols for high-performance distributed systems. IPython.parallel has native support for MPI. Here are some other references:
- MPI tutorial at http://mpitutorial.com/
- MPI with IPython at http://ipython.org/ipython-doc/dev/parallel/parallel_mpi.html
Distributed computing
There are many frameworks for distributed computing and big data analysis in Python.
- Apache Spark is a big data framework that can run on Hadoop and has a Python API: http://spark.apache.org/ ...
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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.