Refactor code formatting and improve readability in Jupyter notebooks for TP_4 and TP_5

- Adjusted indentation and line breaks for better clarity in function definitions and import statements.
- Standardized string quotes for consistency across the codebase.
- Enhanced readability of DataFrame creation and manipulation by breaking long lines into multiple lines.
- Cleaned up print statements and comments for improved understanding.
- Ensured consistent use of whitespace around operators and after commas.

L3/Calculs Numériques/DM3.ipynb

@@ -715,10 +715,7 @@
     "        I_exact = 2 / (k + 1) if k % 2 == 0 else 0\n",
     "        approx_error = np.abs(I_approx - I_exact)\n",
     "        approx_errors.append(approx_error)\n",
-    "    print(\n",
-    "        f\"{N:5d}     |    \"\n",
-    "        + \" \".join(f\"{e:.3f}    \" for e in approx_errors)\n",
-    "    )"
+    "    print(f\"{N:5d}     |    \" + \" \".join(f\"{e:.3f}    \" for e in approx_errors))"
    ]
   },
   {
@@ -773,10 +770,7 @@
     "        I_exact = 2 / (k + 1) if k % 2 == 0 else 0\n",
     "        approx_error = np.abs(I_approx - I_exact)\n",
     "        approx_errors.append(approx_error)\n",
-    "    print(\n",
-    "        f\"{N:5d}     |    \"\n",
-    "        + \" \".join(f\"{e:.3f}    \" for e in approx_errors)\n",
-    "    )"
+    "    print(f\"{N:5d}     |    \" + \" \".join(f\"{e:.3f}    \" for e in approx_errors))"
    ]
   },
   {

L3/Calculs Numériques/Interpolation_2.ipynb

@@ -333,6 +333,8 @@
    "source": [
     "def f(x):\n",
     "    return 1 / (1 + x**2)\n",
+    "\n",
+    "\n",
     "a, b = -5, 5\n",
     "xx = np.linspace(a, b, 200)\n",
     "\n",
@@ -375,6 +377,8 @@
    "source": [
     "def f(x):\n",
     "    return 1 / (1 + x**2)\n",
+    "\n",
+    "\n",
     "a, b = -5, 5\n",
     "xx = np.linspace(a, b, 200)\n",
     "\n",

L3/Calculs Numériques/Point_Fixe.ipynb

@@ -65,12 +65,20 @@
    "source": [
     "def f1(x):\n",
     "    return np.exp(x) - 1 - x\n",
+    "\n",
+    "\n",
     "def f2(x):\n",
     "    return x - np.sin(x)\n",
+    "\n",
+    "\n",
     "def f3(x):\n",
     "    return x + np.sin(x)\n",
+    "\n",
+    "\n",
     "def f4(x):\n",
     "    return x + np.cos(x) - 1\n",
+    "\n",
+    "\n",
     "def f5(x):\n",
     "    return x - np.cos(x) + 1"
    ]