Update docs.

doc/reference/glossary.rst

@@ -15,8 +15,7 @@ Glossary
       with an edge attribute dictionary `(u, v, dict)`.
 
    ebunch
-      An iterable container of edge tuples like a list, iterator,
-      or file.
+      An iterable of edge tuples like a list, iterator, or file.
 
    edge attribute
       Edges can have arbitrary Python objects assigned as attributes
@@ -25,11 +24,11 @@ Glossary
       specified edge *u*-*v*.
 
    nbunch
-      An nbunch is a single node, container of nodes or `None` (representing
+      An nbunch is a single node, iterable of nodes, or `None` (representing
       all nodes). It can be a list, set, graph, etc. To filter an nbunch
       so that only nodes actually in ``G`` appear, use ``G.nbunch_iter(nbunch)``.
 
-      If the nbunch is a container or iterable that is not itself a node
+      If the nbunch is an iterable object that is not itself a node
       in the graph, then it will be treated as an iterable of nodes, for
       instance, when nbunch is a string or a tuple::
 

doc/tutorial.md

@@ -51,14 +51,14 @@ at a time,
 G.add_node(1)
 ```
 
-or add nodes from any {py:term}`iterable` container, such as a list
+or add nodes from any {py:term}`iterable` object, such as a list
 
 ```{code-cell}
 G.add_nodes_from([2, 3])
 ```
 
 You can also add nodes along with node
-attributes if your container yields 2-tuples of the form
+attributes if your iterable yields 2-tuples of the form
 `(node, node_attribute_dict)`:
 
 ```{code-cell}
@@ -109,7 +109,7 @@ G.add_edges_from([(1, 2), (1, 3)])
 ```
 
 or by adding any {term}`ebunch` of edges. An _ebunch_ is any iterable
-container of edge-tuples. An edge-tuple can be a 2-tuple of nodes or a 3-tuple
+of edge-tuples. An edge-tuple can be a 2-tuple of nodes or a 3-tuple
 with 2 nodes followed by an edge attribute dictionary, e.g.,
 `(2, 3, {'weight': 3.1415})`. Edge attributes are discussed further
 {ref}`below <attributes>`.

examples/subclass/plot_antigraph.py

@@ -75,9 +75,8 @@ def degree(self, nbunch=None, weight=None):
 
         Parameters
         ----------
-        nbunch : iterable container, optional (default=all nodes)
-            A container of nodes.  The container will be iterated
-            through once.
+        nbunch : iterable, optional (default=all nodes)
+            An iterable of nodes that will be iterated through once.
 
         weight : string or None, optional (default=None)
            The edge attribute that holds the numerical value used