New tutorial on parallelization and SIMWE (#76)

This is advanced tutorial showing parallelization of SIMWE by splitting computation by subwatersheds.

Author: petrasovaa

content/tutorials/get_started/fast_track_grass_and_python.qmd

@@ -101,9 +101,9 @@ i.e., there's an existing GRASS project.
 Be sure you also have the following Python libraries installed in your
 environment: `folium` or `ipyleaflet`, `numpy`, `seaborn`, `matplotlib`, `pandas`.
 
-The first thing we need to do is to
-*import GRASS python packages*. In order to do so, we need to
-*add GRASS python package to PATH*. Let's see how we do that.
+The first thing we need to do (for some environments) is to
+*import GRASS Python packages*. In order to do so, we need to
+*add GRASS Python package to path*. Let's see how we do that.
 
 ```{python}
 # import standard Python packages
@@ -114,14 +114,14 @@ from pathlib import Path
 ```
 
 ```{python}
-# check where GRASS python packages are and add them to PATH
+# check where GRASS Python packages are and add them to path
 sys.path.append(
     subprocess.check_output(["grass", "--config", "python_path"], text=True).strip()
 )
 ```
 
 ```{python}
-# import GRASS python packages
+# import GRASS Python packages
 import grass.script as gs
 import grass.jupyter as gj
 ```