diff --git a/module2/exo1/toy_document_orgmode_python_fr.org b/module2/exo1/toy_document_orgmode_python_fr.org
index da89a0ac62b7881e36c65093211633debb987afc..96259ea7c48e2e6e81ec5045c76edee94b977255 100644
--- a/module2/exo1/toy_document_orgmode_python_fr.org
+++ b/module2/exo1/toy_document_orgmode_python_fr.org
@@ -5,15 +5,13 @@
 #+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
 #+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
 #+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
-
 #+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
 #+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
 
 #+PROPERTY: header-args  :session  :exports both
 
-
 * En demandant à la lib maths
-Mon ordinateur m'indique que $\pi$ vaut /approximativement/
+Mon ordinateur m'indique que $\pi$ vaut /approximativement/:
 
 #+begin_src python :results value :session *python* :exports both
 from math import *
@@ -30,7 +28,7 @@ comme *approximation* :
 #+begin_src python :results value :session *python* :exports both
 import numpy as np
 np.random.seed(seed=42)
-N = 100000
+N = 10000
 x = np.random.uniform(size=N, low=0, high=1)
 theta = np.random.uniform(size=N, low=0, high=pi/2)
 2/(sum((x+np.sin(theta))>1)/N)
@@ -46,7 +44,6 @@ U(0,1)$ et $Y\sim U(0,1)$ alors $P[X^2+Y^2\leq 1] = \pi/4$ (voir [[https://fr.wi
 Monte Carlo sur Wikipedia]]). Le code suivant illustre ce fait :
 
 #+begin_src python :results output file :var matplot_lib_filename="figure_pi_mc2.png" :exports both :session *python*
-
 import matplotlib.pyplot as plt
 
 np.random.seed(seed=42)