Merge pull request #45 from PyAutoLabs/feature/merge-adjacent-docstrings

docs: merge adjacent documentation blocks

Author: Jammy2211

notebooks/chapter_1_introduction/tutorial_0_visualization.ipynb

@@ -294,13 +294,6 @@
     "Great! Hopefully, visualization in **PyAutoGalaxy** is displaying nicely for us to get on with the **HowToGalaxy**\n",
     "lecture series."
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_1_introduction/tutorial_1_grids_and_galaxies.ipynb

@@ -1089,13 +1089,6 @@
     "Once you are more experienced, you should read up on over-sampling in more detail via \n",
     "the `autogalaxy_workspace/*/guides/over_sampling.ipynb` notebook."
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_1_introduction/tutorial_2_data.ipynb

@@ -634,13 +634,6 @@
     "\n",
     "- **Output**: We saved the simulated data to `.fits` files, the standard format used by astronomers for storing images."
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_1_introduction/tutorial_3_fitting.ipynb

@@ -1102,13 +1102,6 @@
     "- **Model Fitting**: We performed a basic model fit on a simple dataset, adjusting the model parameters to improve the\n",
     "  fit quality."
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_1_introduction/tutorial_4_methods.ipynb

@@ -79,13 +79,6 @@
    "source": [
     "__Wrap Up__"
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_1_introduction/tutorial_5_summary.ipynb

@@ -283,13 +283,6 @@
     "\n",
     "Even the smallest bit of exposure via a GitHub star can help our project grow!"
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_2_modeling/tutorial_1_non_linear_search.ipynb

@@ -995,13 +995,6 @@
     "scientific research and data analysis. In the next tutorials, these concepts will be further expanded upon to \n",
     "deepen your understanding and provide more advanced techniques for model fitting and analysis."
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_2_modeling/tutorial_2_practicalities.ipynb

@@ -535,16 +535,8 @@
     "parameter `n`). These mappings ate specified in the `config/notation.yaml` file and can be customized by users.\n",
     "\n",
     "The superscripts of labels correspond to the name each component was given in the model (e.g. for the `Isothermal`\n",
-    "mass its name `mass` defined when making the `Model` above is used)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [
+    "mass its name `mass` defined when making the `Model` above is used).\n",
     "\n",
-    "# %%\n",
-    "'''\n",
     "__Other Practicalities__\n",
     "\n",
     "The following are examples of other practicalities which I will document fully in this example script in the future,\n",
@@ -569,18 +561,8 @@
     "- How to navigate the output folder and examine model-fit results to assess quality.\n",
     "\n",
     "- How to estimate the run-time of a model-fit before initiating it, and change settings to make it faster or run the\n",
-    "  analysis in parallel.\n",
-    "'''"
-   ],
-   "outputs": [],
-   "execution_count": null
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
+    "  analysis in parallel."
+   ]
   }
  ],
  "metadata": {

notebooks/chapter_2_modeling/tutorial_3_realism_and_complexity.ipynb

@@ -427,13 +427,6 @@
     " disk, bulge, bar, star-forming knot) and there may even be more than 1 galaxy! Do you think there is any hope of \n",
     " us navigating a parameter space if the galaxies contributes 30+ parameters?"
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_2_modeling/tutorial_4_dealing_with_failure.ipynb

@@ -727,13 +727,6 @@
     "To wrap up chapter 2, we have a few more tutorials, where we will discuss masking in more detail, the `Result` object\n",
     "and how to make **PyAutoGalaxy** run faster."
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {},
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {