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.

M1/Numerical Optimisation/ComputerSession3.ipynb

@@ -46,7 +46,7 @@
     "def generate_thetas(n):\n",
     "    random_steps = np.random.random(n)\n",
     "    return np.concatenate(\n",
-    "        ([0], np.cumsum(random_steps / np.sum(random_steps) * (2 * np.pi)))\n",
+    "        ([0], np.cumsum(random_steps / np.sum(random_steps) * (2 * np.pi))),\n",
     "    )\n",
     "\n",
     "\n",