diff --git a/docs/tutorials.rst b/docs/tutorials.rst
index fc1f399..cffe778 100644
--- a/docs/tutorials.rst
+++ b/docs/tutorials.rst
@@ -14,42 +14,45 @@ 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):
+
   .. 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
+      $ 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):
+
   .. code-block:: console
 
-    $ python run_nrlmsise00.py
-    $ python run_nrlmsise00_time_series.py
+      $ 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):
-  .. 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
+  .. 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
+
+      $ python merge_omni_data.py
+      $ python merge_sw_and_tudelft_data.py
 
 
 Basics