Merge pull request #180 from benlaken/gh-pages

Added callout for way to find methods in IPython

01-numpy.md

@@ -419,6 +419,19 @@ minimum inflammation: 0.0
 standard deviation: 4.61383319712
 ~~~
 
+> ## Mystery methods in IPython {.callout}
+>
+> How did we know what methods data has and how to use them? When you are working
+> on your own data it might be something different to a numpy object: how will
+> you know what methods you can use then? If you are working in the IPython/Jupyter 
+> Notebook there is an easy way to find out. If you type the name of your object
+> with a full-stop then you can use tab completion (e.g. type `data.` and then press tab)
+> to see a list of all methods that you can use on that object. After selecting one you
+> can also add a question mark (e.g. `data.cumprod?`) and IPython will return an 
+> explanation of the method! This is the same as doing `help(data.cumprod)`, and shows
+> the docstring of the `np.cumprod` function.
+
+
 When analyzing data,
 though,
 we often want to look at partial statistics,