add gunicorn and pandas resources

mattmakai · mattmakai · commit de251e22dd88 · 2019-05-22T10:45:40.000-04:00
diff --git a/content/pages/03-data/16-pandas.markdown b/content/pages/03-data/16-pandas.markdown
@@ -102,3 +102,8 @@ is a data structures and analysis library.
 * [Analyzing my Spotify Music Library With Jupyter And a Bit of Pandas](https://vsupalov.com/analyze-spotify-music-library-with-jupyter-pandas/)
   shows how to grab all of your user data from the Spotify API then
   analyze it using pandas in [Jupyter Notebook](/jupyter-notebook.html).
+
+* [Scalable Python Code with Pandas UDFs](https://towardsdatascience.com/scalable-python-code-with-pandas-udfs-a-data-science-application-dd515a628896)
+  explains that pandas operations can often be parallelized for better 
+  performance using the Pandas UDFs feature in PySpark version 2.3
+  or greater.
diff --git a/content/pages/05-deployment/23-gunicorn.markdown b/content/pages/05-deployment/23-gunicorn.markdown
@@ -131,3 +131,7 @@ perform the request handling. Each worker is independent of the controller.
   context on how to choose the number of workers for your execution 
   environment.
 
+* [Configuring Gunicorn for containers](https://pythonspeed.com/articles/gunicorn-in-docker/)
+  explains how to avoid excessive slowness in your [Docker](/docker.html)
+  containers that run Gunicorn workers, as well as some tips on
+  proper logging.
