The first step in this tutorial is to provide all users access to a server for which these instructions can be used, regardless of what computer you may be on. To do this, we'll be using cloud computing. More specifically, Amazon Web Services Elastic Compute Cloud. To rent compute time off of Amazon Web Services, you'll have to sign up and pay with a credit card. The cost is pretty manageable, http://aws.amazon.com/ec2/pricing/. You should be able to complete this tutorial in less than four hours, which comes out to < $1.
Once you are signed up for Amazon Web Services, you need to follow some instructions to launch a cloud "instance" or server. For this tutorial, we suggest you use the instructions from the Data Science Toolbox, http://datasciencetoolbox.org/#bundles. A couple things to note prior to running through those instructions:
If you have trouble logging into your instance and you are on a Mac or Linux OS:
Once you are logged into the instance, for example, you've successfully run the following command (except you'll have your own security file uniquely named and your own special EC2 address):
$ ssh -i MyKeyPair.pem ubuntu@ec2-XX-XX-XX-XXX.compute-1.amazonaws.com
And you now have a command line that looks like:
ubuntu@ip-10-181-106-120:
You need to do a couple things to get this tutorial running:
Copy and paste the following commands one by one into your command line and press ENTER after each one:
cd /mnt
sudo git clone https://github.com/germs-lab/frontiers-review-2015.git
Next, copy and paste the following command and enter a notebook password of your choice when prompted:
dst setup base
Then, copy and paste this command:
sudo ipython notebook --profile=dst --notebook-dir=/mnt/frontiers-review-2015
This will start up an IPython Notebook for this tutorial. Leave the terminal screen open and find your internet browser, preferablly Google Chrome. You'll also need the address for your EC2 instance public DNS that you used to log in above "e.g., ec2-XX-XX-XX-XXX". If you don't know it, you can always check on your AWS EC2 dashboard (see running instances) here, https://console.aws.amazon.com/ec2/v2/.
On your web browser, navigate to https://ec2-XX-XX-XX-XXX:8888 (except with your specific EC2 public DNS). Almost all web browsers will have a message that says you're heading to an unsafe place. Don't be alarmed. On Chrome, you can hit the "Advanced" options link and hit "Proceed anyways". Then, type in the password (password is the one you chose above), and voila, you'll see a notebook that contains this text called "frontiers-nb-2015".
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