update tutorial

docs/tutorials.rst

@@ -14,46 +14,43 @@ Note that these procedures can take quite some RAM & CPU time.
 
 * Data downloading:
   for this, you have to go in the `scripts/input_data_prep` and run the following commands (note, if you want to download the data for specific dates, or onto specific directories, you can pass the arguments, e.g. --output_dir path/to/dir, and similar, as preferred):
-  ```bash
-  python download_tudelft_thermo.py
-  python download_sw_indices.py
-  python download_omniweb.py
-  python download_goes.py
-  python download_soho.py
-  ```
+  .. code-block:: console
+
+   $ python download_tudelft_thermo.py
+   $ python download_sw_indices.py
+   $ python download_omniweb.py
+   $ python download_goes.py
+   $ python download_soho.py
+
   We also run the NRLMSISE-00 model and collect the output for both the nowcasting and forecasting model (note that
   if you want to change input/output path to directories, or configurations of the parallel processing, you can do so by specifying the arguments):
-  ```bash
-  python run_nrlmsise00.py
-  python run_nrlmsise00_time_series.py
-  ```
+  .. code-block:: console
+
+    $ python run_nrlmsise00.py
+    $ python run_nrlmsise00_time_series.py
   
 Once this is done, you can start the pre-processing.
 
 * Data pre-processing:
   for this, you have to go in the `scripts/input_data_prep` and run the following commands (note, if you want to pre-process the data onto specific directories, e.g. --output_dir path/to/dir 
   you can do so by specifying the argument):
-  ```bash
-  python process_tudelft_data.py
-  python process_sw_indices.py
-  python process_omniweb_data.py
-  python process_goes_data.py
-  python process_soho_data.py
-  ```
-  Finally, you can merge the data.
-
-  ```bash
-  python omni_data.py
-  python merge_sw_and_tudelft_data.py
-  ```
+  .. code-block:: console
+
+    $ python process_tudelft_data.py
+    $ python process_sw_indices.py
+    $ python process_omniweb_data.py
+    $ python process_goes_data.py
+    $ python process_soho_data.py
+
 
 * Data merging:
   for this, you have to go in the `scripts/input_data_prep` and run the following commands (note, if you want to merge the data onto specific directories, e.g. --output_dir path/to/dir
   you can do so by specifying the argument):
+  .. code-block:: console
+    
+    $ python merge_omni_data.py
+    $ python merge_sw_and_tudelft_data.py
 
-  ```bash
-  python merge_data.py
-  ```
 
 Basics
 ^^^^^^^^^^^