Some typo fixes

NREL · Oct 7, 2024 · 20677e0 · 20677e0
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diff --git a/docs/advanced_concepts.ipynb b/docs/advanced_concepts.ipynb
@@ -9,7 +9,7 @@
     "# Advanced Concepts\n",
     "\n",
     "More information regarding the numerical and computational formulation in FLORIS\n",
-    "are detailed here. See [](concepts_intro) for a guide on the basics."
+    "are detailed here. See [Introductory Concepts](intro_concepts) for a guide on the basics."
    ]
   },
   {

diff --git a/docs/floris_models.ipynb b/docs/floris_models.ipynb
diff --git a/docs/intro_concepts.ipynb b/docs/intro_concepts.ipynb
@@ -5,7 +5,7 @@
    "id": "86e53920",
    "metadata": {},
    "source": [
-    "(concepts_intro)=\n",
+    "(intro_concepts)=\n",
     "# Introductory Concepts\n",
     "\n",
     "FLORIS is a Python-based software library for calculating wind farm performance considering\n",

diff --git a/examples/009_parallel_models.py b/examples/009_parallel_models.py
@@ -1,9 +1,9 @@
 """Example 9: Parallel Models
 
 This example demonstrates how to use the ParFlorisModel class to parallelize the
-calculation of the FLORIS model.  ParFlorisModel inherits from the FlorisModel
-and so can be used in the same way with a consistent interface.The ParFlorisModel
- replaces the ParallelFlorisModel
+calculation of the FLORIS model. ParFlorisModel inherits from the FlorisModel
+and so can be used in the same way with a consistent interface. ParFlorisModel
+replaces the ParallelFlorisModel, which will be deprecated in a future release.
 
 """
 
@@ -23,21 +23,21 @@
     # Instantiate the FlorisModel
     fmodel = FlorisModel("inputs/gch.yaml")
 
-    # The ParFlorisModel can be instatiated either from a FlorisModel or from
+    # The ParFlorisModel can be instantiated either from a FlorisModel or from
     # the input file.
     pfmodel_1 = ParFlorisModel("inputs/gch.yaml")  # Via input file
     pfmodel_2 = ParFlorisModel(fmodel)  # Via FlorisModel
 
     # The ParFlorisModel has additional inputs which define the parallelization
-    # but don't effect the output.
+    # but don't affect the output.
     pfmodel_3 = ParFlorisModel(
         fmodel,
         interface="multiprocessing",  # Default
         max_workers=2,  # Defaults to num_cpu
-        n_wind_condition_splits=2,  # Defaults to max_workers)
+        n_wind_condition_splits=2,  # Defaults to max_workers
     )
 
-    # Define a simple inflow with just 1 wind speed
+    # Define a simple inflow
     time_series = TimeSeries(
         wind_speeds=np.arange(1, 25, 0.5), wind_directions=270.0, turbulence_intensities=0.06
     )
@@ -72,8 +72,8 @@
         f"close: {np.allclose(powers_fmodel, powers_pfmodel_3)}"
     )
 
-    # Given that ParFlorisModel is a subclass of FlorisModel, it can also be used as
-    # an input to the UncertainFlorisModel class.  This allows for parallelization of
+    # Because ParFlorisModel is a subclass of FlorisModel, it can also be used as
+    # an input to the UncertainFlorisModel class. This allows for parallelization of
     # the uncertainty calculations.
     ufmodel = UncertainFlorisModel(fmodel)
     pufmodel = UncertainFlorisModel(pfmodel_1)