Merge pull request #37 from jbampton/fix-spelling

Fix spelling

Author: chriddyp

CHANGELOG.md

@@ -18,7 +18,7 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ## 0.3.0 - 2020-07-21
 ### Added
- - Added suport for using JupyterDash in Google Colab ([#27](https://github.com/plotly/jupyter-dash/pull/27))
+ - Added support for using JupyterDash in Google Colab ([#27](https://github.com/plotly/jupyter-dash/pull/27))
  - Added support for installing JupyterDash from git using pip: (e.g. `pip install git+https://github.com/plotly/jupyter-dash.git@master`)
 
 ### Changed

notebooks/getting_started.ipynb

@@ -237,7 +237,7 @@
    "source": [
     "Serve the app using `run_server`.  Unlike the standard `Dash.run_server` method, the `JupyterDash.run_server` method doesn't block execution of the notebook. It serves the app in a background thread, making it possible to run other notebook calculations while the app is running.\n",
     "\n",
-    "This makes it possible to iterativly update the app without rerunning the potentially expensive data processing steps."
+    "This makes it possible to iteratively update the app without rerunning the potentially expensive data processing steps."
    ]
   },
   {

notebooks/getting_started.py

@@ -202,7 +202,7 @@ def update_x_timeseries(hoverData, yaxis_column_name, axis_type):
 # %% [markdown]
 # Serve the app using `run_server`.  Unlike the standard `Dash.run_server` method, the `JupyterDash.run_server` method doesn't block execution of the notebook. It serves the app in a background thread, making it possible to run other notebook calculations while the app is running.
 #
-# This makes it possible to iterativly update the app without rerunning the potentially expensive data processing steps.
+# This makes it possible to iteratively update the app without rerunning the potentially expensive data processing steps.
 
 # %%
 app.run_server()