CamDavidsonPilon
diff --git a/‎Chapter2_MorePyMC/MorePyMC.ipynb
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diff --git a/‎Chapter3_MCMC/IntroMCMC.ipynb
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diff --git a/‎Chapter4_TheGreatestTheoremNeverTold/LawOfLargeNumbers.ipynb
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diff --git a/‎Chapter5_LossFunctions/LossFunctions.ipynb
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diff --git a/‎Chapter6_Priorities/Priors.ipynb
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diff --git a/‎README.md
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@@ -92,7 +92,6 @@ this book, though it comes with some dependencies.
     -  IPython v0.13 (or greater) is a requirement to view the ipynb files. It can be downloaded [here](http://ipython.org/). IPython notebooks can be run by `(your-virtualenv) ~/path/to/the/book/Chapter1_Introduction $ ipython notebook`
     -  For Linux users, you should not have a problem installing NumPy, SciPy, Matplotlib and PyMC. For Windows users, check out [pre-compiled versions](http://www.lfd.uci.edu/~gohlke/pythonlibs/) if you have difficulty. 
     -  In the styles/ directory are a number of files (.matplotlirc) that used to make things pretty. These are not only designed for the book, but they offer many improvements over the default settings of matplotlib.
-    -  while technically not required, it may help to run the IPython notebook with `ipython notebook --pylab inline` flag if you encounter io errors.
 2. The second, preferred, option is to use the nbviewer.ipython.org site, which display IPython notebooks in the browser ([example](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1_Introduction.ipynb)).
 The contents are updated synchronously as commits are made to the book. You can use the Contents section above to link to the chapters.