Added link to matplotlib tutorial

Author: rougier

01-preface.rst

@@ -25,7 +25,9 @@ visualization (OpenGL). Nicolas P. Rougier is the author of several online
 resources and tutorials (Matplotlib, numpy, OpenGL) and he's teaching Python,
 numpy and scientific visualization at the University of Bordeaux and in various
 conferences and schools worldwide (SciPy, EuroScipy, etc). He's also the author
-of the popular article `Ten Simple Rules for Better Figures`_.
+of the popular article `Ten Simple Rules for Better Figures`_ and a popular
+'matplotlib tutorial
+<http://www.labri.fr/perso/nrougier/teaching/matplotlib/matplotlib.html>`_.
 
 
 About this book

02-introduction.rst

@@ -87,6 +87,8 @@ function as:
        steps = random.sample([1, -1]*n, n)
        return list(accumulate(steps))
 
+    walk = random_walk_faster(1000)
+   
 In fact, we've just *vectorized* our function. Instead of looping for picking
 sequential steps and add them to the current position, we fist generate all the
 steps at once and use the `accumulate
@@ -110,6 +112,8 @@ just have to translate it into numpy methods.
        steps = 2*np.random.randint(0, 2, size=1000) - 1
        return np.cumsum(steps)
 
+   walk = random_walk_fastest(1000)
+           
 Not too difficult, but we gained a factor 500x using numpy:
 
 .. code:: pycon