Refactor code structure for improved readability and maintainability

M1/Numerical Optimisation/ComputerSession2.ipynb

@@ -308,7 +308,6 @@
     }
    ],
    "source": [
-    "\n",
     "u = lambda x: np.sqrt((6 - x) ** 2 + 4)\n",
     "\n",
     "\n",

M1/Statistical Learning/TP0_Intro_Jupyter_Python.ipynb

@@ -1106,7 +1106,6 @@
     }
    ],
    "source": [
-    "\n",
     "fig, ax = plt.subplots(subplot_kw={\"projection\": \"3d\"})\n",
     "\n",
     "X = np.arange(-3, 3, 0.25)\n",

M1/Statistical Learning/TP1_A_first_example.ipynb

@@ -32,7 +32,6 @@
    },
    "outputs": [],
    "source": [
-    "\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",

pyproject.toml

@@ -11,6 +11,7 @@ dependencies = [
     "opencv-python>=4.11.0.86",
     "pandas>=2.2.3",
     "scikit-learn>=1.6.1",
+    "scipy>=1.15.2",
 ]
 
 [dependency-groups]
@@ -19,6 +20,10 @@ dev = [
     "uv>=0.6.16",
 ]
 
+[tool.ruff]
+extend-include = ["*.ipynb"]
+line-length = 88
+
 [tool.ruff.lint]
 # Activer les règles de linting courantes
 select = [
@@ -36,9 +41,6 @@ ignore = [
     "E501", # line too long, géré par le formatter
 ]
 
-# Longueur de ligne
-line-length = 88
-
 # Exclure certains fichiers ou répertoires
 exclude = [
     ".bzr",