Mention Jupyter in matplotlib usage

Pastafarianist · web-flow · commit e5be0f7ee6bc · 2018-03-14T14:12:44.000+03:00
diff --git a/tutorials/introductory/usage.py b/tutorials/introductory/usage.py
@@ -296,11 +296,13 @@ def my_plotter(ax, data1, data2, param_dict):
 # to the "backend" and many new users are confused by this term.
 # matplotlib targets many different use cases and output formats.  Some
 # people use matplotlib interactively from the python shell and have
-# plotting windows pop up when they type commands.  Some people embed
-# matplotlib into graphical user interfaces like wxpython or pygtk to
-# build rich applications.  Others use matplotlib in batch scripts to
-# generate postscript images from some numerical simulations, and still
-# others in web application servers to dynamically serve up graphs.
+# plotting windows pop up when they type commands.  Some people run
+# Jupyter notebooks and draw inline plots for quick data analysis.
+# Others embed matplotlib into graphical user interfaces like wxpython
+# or pygtk to build rich applications.  Some people use matplotlib in
+# batch scripts to generate postscript images from numerical
+# simulations, and still others run web application servers to
+# dynamically serve up graphs.
 #
 # To support all of these use cases, matplotlib can target different
 # outputs, and each of these capabilities is called a backend; the
