diff --git a/Examples/python/fitting/ex02_FitBasics/FitCylindersPrisms_detailed.py b/Examples/python/fitting/ex02_FitBasics/FitCylindersPrisms_detailed.py
index 2212b5917b85e8218c2fb0b3a4bc7bec55fc2981..88e0eca1f3f0c1a94d0c707a566d4fba74f436e2 100644
--- a/Examples/python/fitting/ex02_FitBasics/FitCylindersPrisms_detailed.py
+++ b/Examples/python/fitting/ex02_FitBasics/FitCylindersPrisms_detailed.py
@@ -69,7 +69,8 @@ def create_real_data():
         real_data.setBinContent(i, noisy_amplitude)
 
     # uncomment line to save generated data on disk
-    #ba.IntensityDataIOFactory.writeIntensityData(real_data, 'refdata_fitcylinderprisms.int.gz')
+    #ba.IntensityDataIOFactory.writeIntensityData(
+    # real_data, 'refdata_fitcylinderprisms.int.gz')
     return real_data
 
 
diff --git a/Examples/python/fitting/ex02_FitBasics/MinimizerOptions.py b/Examples/python/fitting/ex02_FitBasics/MinimizerOptions.py
index 2d8e657b4e816746d3904c24b339a82057857156..802231921d7e627af5bf767f2f491155558a0fc4 100644
--- a/Examples/python/fitting/ex02_FitBasics/MinimizerOptions.py
+++ b/Examples/python/fitting/ex02_FitBasics/MinimizerOptions.py
@@ -79,7 +79,7 @@ def run_fitting():
     # Uncomment one of the line below to adjust minimizer settings
 
     # setting Minuit2 minimizer with Migrad algorithm, limiting number of iterations
-    # Minimization will try to respect MaxFunctionCalls value and will stop around this value
+    # Minimization will try to respect MaxFunctionCalls value
     # fit_suite.setMinimizer("Minuit2", "Migrad", "MaxFunctionCalls=100")
 
     # Setting two options at once.
@@ -92,14 +92,15 @@ def run_fitting():
     # Setting Levenberg-Marquardt algorithm
     # fit_suite.setMinimizer("GSLLMA")
 
-    # Setting Genetic algorithm
-    # It requires all parameters to be limited, so we recreate parameters with min and max defined
+    # Setting Genetic algorithm.It requires all parameters
+    # to be limited, so we recreate parameters with min and max defined
     # fit_suite.fitParameters().clear()
     # fit_suite.addFitParameter("*Cylinder/Height", 4.*nm).setLimited(3.0, 8.0)
     # fit_suite.addFitParameter("*Cylinder/Radius", 6.*nm).setLimited(3.0, 8.0)
     # fit_suite.addFitParameter("*Prism3/Height", 4.*nm).setLimited(3.0, 8.0)
     # fit_suite.addFitParameter("*Prism3/BaseEdge", 4.*nm).setLimited(3.0, 8.0)
-    # fit_suite.setMinimizer("Genetic", "Default", "MaxIterations=2;PopSize=200;RandomSeed=1")
+    # fit_suite.setMinimizer("Genetic", "Default",
+    # "MaxIterations=2;PopSize=200;RandomSeed=1")
 
     # running fit with default minimizer
     fit_suite.runFit()