diff --git a/README.rst b/README.rst
index 05a02c34..285a3519 100644
--- a/README.rst
+++ b/README.rst
@@ -183,7 +183,7 @@ Returns
 Examples and Advanced Usage
 ---------------------------
 
-See the ``examples`` folder.
+See the ``examples`` folder or import the module and run ``help()``.
 
 Hooks and callbacks
 ~~~~~~~~~~~~~~~~~~~
@@ -269,22 +269,9 @@ for ``DataFrameGroupBy.progress_apply``:
     # Now you can use `progress_apply` instead of `apply`
     df.groupby(0).progress_apply(lambda x: x**2)
 
-In case you're interested in the internals, the ``tqdm_pandas`` function is
-defined as follows:
-
-.. code:: python
-
-    def tqdm_pandas(t):
-      from pandas.core.groupby import DataFrameGroupBy
-      def inner(groups, func, *args, **kwargs):
-          t.total = len(groups) + 1
-          def wrapper(*args, **kwargs):
-              t.update(1)
-              return func(*args, **kwargs)
-          result = groups.apply(wrapper, *args, **kwargs)
-          t.close()
-          return result
-      DataFrameGroupBy.progress_apply = inner
+In case you're interested in how this works (and how to modify it for your
+own callbacks), see the ``examples`` folder or import the midule and run
+``help()``.
 
 Contributions
 -------------
diff --git a/examples/pandas_progress_apply.py b/examples/pandas_progress_apply.py
new file mode 100644
index 00000000..0658a05a
--- /dev/null
+++ b/examples/pandas_progress_apply.py
@@ -0,0 +1,26 @@
+import pandas as pd
+import numpy as np
+from tqdm import tqdm, tqdm_pandas
+
+df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
+
+# Create and register a new `tqdm` instance with `pandas`
+# (can use tqdm_gui, optional kwargs, etc.)
+tqdm_pandas(tqdm())
+
+# Now you can use `progress_apply` instead of `apply`
+df.groupby(0).progress_apply(lambda x: x**2)
+
+
+""" Source code for `tqdm_pandas` (really simple!) """
+# def tqdm_pandas(t):
+#   from pandas.core.groupby import DataFrameGroupBy
+#   def inner(groups, func, *args, **kwargs):
+#       t.total = len(groups) + 1
+#       def wrapper(*args, **kwargs):
+#           t.update(1)
+#           return func(*args, **kwargs)
+#       result = groups.apply(wrapper, *args, **kwargs)
+#       t.close()
+#       return result
+#   DataFrameGroupBy.progress_apply = inner