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.

M1/Numerical Optimisation/ComputerSession2.ipynb

@@ -66,6 +66,8 @@
     "\n",
     "def f(x):\n",
     "    return np.tanh(x)\n",
+    "\n",
+    "\n",
     "aL, aR = -20, 3\n",
     "print(dichotomy(f, aL, aR))"
    ]
@@ -135,9 +137,15 @@
     "\n",
     "def f(x):\n",
     "    return np.log(np.exp(x) + np.exp(-x))\n",
+    "\n",
+    "\n",
     "x0 = 1.8\n",
+    "\n",
+    "\n",
     "def df(x):\n",
     "    return (np.exp(x) - np.exp(-x)) / (np.exp(x) + np.exp(-x))\n",
+    "\n",
+    "\n",
     "print(Newton(f, df, x0))"
    ]
   },
@@ -188,6 +196,8 @@
     "\n",
     "def f(x):\n",
     "    return np.log(np.exp(x) + np.exp(-x))\n",
+    "\n",
+    "\n",
     "xx = [(1, 1.9), (1, 2.3), (1, 2.4)]\n",
     "\n",
     "for x0, x1 in xx:\n",
@@ -265,8 +275,12 @@
     "\n",
     "def f(x):\n",
     "    return np.log(np.exp(x) + np.exp(-x))\n",
+    "\n",
+    "\n",
     "def df(x):\n",
     "    return (np.exp(x) - np.exp(-x)) / (np.exp(x) + np.exp(-x))\n",
+    "\n",
+    "\n",
     "print(DichotomyNewton(f, df, -20, 3))"
    ]
   },