Refactor code for improved readability and consistency across multiple Jupyter notebooks

- Added missing commas in various print statements and function calls for better syntax.
- Reformatted code to enhance clarity, including breaking long lines and aligning parameters.
- Updated function signatures to use float type for sigma parameters instead of int for better precision.
- Cleaned up comments and documentation strings for clarity and consistency.
- Ensured consistent formatting in plotting functions and data handling.

L3/Analyse Matricielle/TP1_Methode_de_Gauss.ipynb

@@ -94,7 +94,7 @@
     "        [0, 0, 3, 0, 0],\n",
     "        [0, 0, 0, 4, 0],\n",
     "        [0, 0, 0, 0, 5],\n",
-    "    ]\n",
+    "    ],\n",
     ")\n",
     "B = np.array(\n",
     "    [\n",
@@ -103,7 +103,7 @@
     "        [3, 4, 5, 6, 7],\n",
     "        [4, 5, 6, 7, 8],\n",
     "        [5, 6, 7, 8, 9],\n",
-    "    ]\n",
+    "    ],\n",
     ")\n",
     "d = np.diag(A)\n",
     "dd = np.array([np.diag(A)])\n",
@@ -299,7 +299,7 @@
     "        raise ValueError(\"Erreur de dimension : A doit etre carré\")\n",
     "    if n != b.size:\n",
     "        raise valueError(\n",
-    "            \"Erreur de dimension : le nombre de lignes de A doit être égal au nombr ede colonnes de b\"\n",
+    "            \"Erreur de dimension : le nombre de lignes de A doit être égal au nombr ede colonnes de b\",\n",
     "        )\n",
     "    U = np.zeros((n, n + 1))\n",
     "    U = A\n",