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Mastering-IPython-4

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Mastering IPython 4 by Packt Publishing

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# Mastering IPython 4.0

This is the code repository for [Mastering IPython 4.0](https://www.packtpub.com/big-data-and-business-intelligence/mastering-ipython-40?utm_source=github&utm_medium=repository&utm_campaign=9781785888410), published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

## Instructions
Chapter-wise software requirements (with version):

* Chapter 2: Python 3.4.2, IPython 4.0.1
* Chapter 3: Python libraries (ipyparallel, numpy, scipy)
* Chapter 4: ZeroMQ 4.1.4, MPI 4.0, Python libraries (mpi4py, zmq)
* Chapter 6: R, Octave, Hy, Python libraries (rpy2, oct2py, hymagic)
* Chapter 7: R packages (ggplot2), Python libraries (matplotlib, bokeh, pandas, python-nvd3)
* Chapter 8: Python libraries (pytest, nose2)
* Chapter 9: Python libraries (docutils, sphinx)
* Chapter 10: Jupyter

The list is probably best understood as being cumulative, with each chapter requiring all the software from the previous chapters, plus (possibly) more.

OS used to run the code:

(my_rpy2_zone)-bash-4.1$ lsb_release -r -i -c -d
Distributor ID: RedHatEnterpriseServer
Description:    Red Hat Enterprise Linux Server release 6.7 (Santiago)
Release:        6.7
Codename:       Santiago

Hardware used to run the code: 
Hard to specify exactly, given the nature of the platform.  The machine is described at: (https://www.osc.edu/supercomputing/computing/oakley)

## Related IPython books

* [IPython Notebook Essentials](https://www.packtpub.com/big-data-and-business-intelligence/ipython-notebook-essentials?utm_source=github&utm_medium=repository&utm_campaign=9781783988341)
* [Learning IPython for Interactive Computing and Data Visualization](https://www.packtpub.com/big-data-and-business-intelligence/learning-ipython-interactive-computing-and-data-visualization?utm_source=github&utm_medium=repository&utm_campaign=9781782169932)
* [Learning IPython for Interactive Computing and Data Visualization-Second Edition](https://www.packtpub.com/big-data-and-business-intelligence/learning-ipython-interactive-computing-and-data-visualization-sec?utm_source=github&utm_medium=repository&utm_campaign=9781783986989)

### Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost. Simply click on the link to claim your free PDF.
 <a href="https://packt.link/free-ebook/9781785888410">https://packt.link/free-ebook/9781785888410 </a>

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