📝 meta-review

Author: jonasvdd

examples/README.md

@@ -13,7 +13,7 @@ pip install -r requirements.txt
 ## 1. Example notebooks
 ### 1.1 basic examples
 
-The [basic example notebook](basic_example.ipynb) covers most use-cases in which plotly resampler will be employed. It servers as an ideal starting point for data-scientists who want to use plotly-resampler in their day-to-day jupyter environments.
+The [basic example notebook](basic_example.ipynb) covers most use-cases in which plotly resampler will be employed. It serves as an ideal starting point for data-scientists who want to use plotly-resampler in their day-to-day jupyter environments.
 
 Additionally, this notebook also shows some more advanced functionalities, such as:
 * Retaining (a static) plotly-resampler figure in your notebook

examples/dash_apps/13_coarse_fine.py

@@ -176,7 +176,7 @@ def update_dynamic_fig(coarse_grained_relayout, fine_grained_relayout, fr_fig):
 
     ctx = dash.callback_context
     trigger_id = ctx.triggered[0].get("prop_id", "").split(".")[0]
-    
+
     if trigger_id == "plotly-resampler-graph":
         return fr_fig.construct_update_data(fine_grained_relayout)
     elif trigger_id == "coarse-graph":

examples/dash_apps/utils/callback_helpers.py

@@ -118,7 +118,6 @@ def get_selector_states(n: int) -> List[State]:
         The number of folder selectors
 
     """
-    # Note: the list sum-operations flattens the list
     return list(
         itertools.chain.from_iterable(
             [