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From ok...@apache.org
Subject [17/20] incubator-tinkerpop git commit: Minor fixes to getting started tutorial.
Date Thu, 10 Mar 2016 18:14:15 GMT
Minor fixes to getting started tutorial.


Project: http://git-wip-us.apache.org/repos/asf/incubator-tinkerpop/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-tinkerpop/commit/14d1f10a
Tree: http://git-wip-us.apache.org/repos/asf/incubator-tinkerpop/tree/14d1f10a
Diff: http://git-wip-us.apache.org/repos/asf/incubator-tinkerpop/diff/14d1f10a

Branch: refs/heads/master
Commit: 14d1f10aad18996f81c5a7a08a19f8781985d15c
Parents: 129e4a4
Author: Stephen Mallette <spmva@genoprime.com>
Authored: Thu Mar 10 08:22:08 2016 -0500
Committer: Stephen Mallette <spmva@genoprime.com>
Committed: Thu Mar 10 08:22:08 2016 -0500

----------------------------------------------------------------------
 docs/src/tutorials/getting-started/index.asciidoc | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-tinkerpop/blob/14d1f10a/docs/src/tutorials/getting-started/index.asciidoc
----------------------------------------------------------------------
diff --git a/docs/src/tutorials/getting-started/index.asciidoc b/docs/src/tutorials/getting-started/index.asciidoc
index e9987df..19e5947 100644
--- a/docs/src/tutorials/getting-started/index.asciidoc
+++ b/docs/src/tutorials/getting-started/index.asciidoc
@@ -162,7 +162,7 @@ a place, etc.) and an edge represents the relationship between two vertices.
 image:modern-edge-1-to-3-1.png[width=300]
 
 The diagram above shows a graph with two vertices, one with a unique identifier of "1" and
another with a unique
-identifier of "3". There is a edge connecting the two with a unique identifier of "9". It
is important to consider
+identifier of "3". There is an edge connecting the two with a unique identifier of "9". It
is important to consider
 that the edge has a direction which goes _out_ from vertex "1" and _in_ to vertex "3'.
 
 IMPORTANT: Most TinkerPop implementations do not allow for identifier assignment. They will
rather assign
@@ -359,7 +359,7 @@ step. We know how to find the "software" that "marko" created:
 g.V().has('name','marko').out('created')
 ----
 
-image:gremlin-on-software-vertex.png[width=350,float=right] Let's extend on that query to
try to learn who "marko"
+image:gremlin-on-software-vertex.png[width=325,float=right] Let's extend on that query to
try to learn who "marko"
 collaborates with when it comes to the software he created. In other words, let's try to
answer the question of: "Who
 are the people that marko develops software with?" To do that, we should first picture Gremlin
where we left him in
 the previous query.  He was standing on the "software" vertex. To find out who "created"
that "software", we need to
@@ -466,12 +466,12 @@ the documentation for individual `Graph` implementations to learn about
the conf
 Loading Data
 ~~~~~~~~~~~~
 
-image:gremlin-to-the-7.png[width=100,float=left] There are many strategies for getting data
into your graph. As you are just
-getting started, let's look the more simple methods aimed at "smaller" graphs. A "small"
graph, in this context, is
-one that has less than ten million edges. The most direct way to load this data is to write
a Groovy script that can
-be executed in the Gremlin Console, a tool that you should be well familiar with at this
point. For our example, let's
-use the link:http://snap.stanford.edu/data/wiki-Vote.html[Wikipedia Vote Network] data set
which contains 7,115
-vertices and 103,689 edges.
+image:gremlin-to-the-7.png[width=100,float=left] There are many strategies for getting data
into your graph. As you are
+just getting started, let's look at the more simple methods aimed at "smaller" graphs. A
"small" graph, in this
+context, is one that has less than ten million edges. The most direct way to load this data
is to write a Groovy script
+that can be executed in the Gremlin Console, a tool that you should be well familiar with
at this point. For our
+example, let's use the link:http://snap.stanford.edu/data/wiki-Vote.html[Wikipedia Vote Network]
data set which
+contains 7,115 vertices and 103,689 edges.
 
 [source,text]
 ----


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