diff --git a/images/title.svg b/images/title.svg
index b1fdbea..e214736 100644
--- a/images/title.svg
+++ b/images/title.svg
@@ -5,47 +5,49 @@
width="353.934px" height="94.382px" viewBox="0 0 353.934 94.382" enable-background="new 0 0 353.934 94.382"
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Most computers can get started locally or on the cloud in just a few simple steps.
-Most computers can get started locally or on the cloud in just a few simple steps.
+1. Download the latest, pre-built version of Spark. Then set an environmental variable by typing this into the terminal.
export SPARK_HOME=your/path/to/spark
2. Install Thunder. If you are already using Python just type this line into the terminal. (If not, get Anaconda.)
pip install thunder-python
3. Start Thunder and try an analysis!
thunder
>> from thunder import ICA
@@ -98,20 +96,24 @@ Getting started
1. Set up an AWS account, get your secret access key, and create a key pair (see the documentation for more details).
2. Use this command to launch a 5 node cluster named "test". It will just take a few minutes to start
thunder-ec2 -k mykey -i mykey.pem -s 5 launch test
3. Once the cluster launches, login and start
thunder-ec2 -k mykey -i mykey.pem login test
$ thunder
@@ -121,14 +123,11 @@ Running locally is great for testing, but for real analysis you'll want a cl