1. Launch an Amazon instance

Launch an Amazon instance corresponding to your needs. For more information, check AWS Part 1.

2. Install python software

• Once the instance is running, SSH to it as seen in AWS Part 1.

• Download Anaconda with wget :

  wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.4.1-Linux-x86_64.sh

• Install Anaconda :

  bash Anaconda2-2.4.1-Linux-x86_64.sh

• In case you need permission, just append sudo to each command

• Accept the conditions and the installation should start.
• When Anaconda asks whether you want to prepend its path to your $PATH variable, type yes.

• Reload your .bashrc

  source .bashrc

If everything worked, you should see the following messages when calling python

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Python 2.7.11 |Anaconda 2.4.1 (64-bit)| (default, Dec  6 2015, 18:08:32) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org

• You can now import classic modules such as numpy, pandas etc.

3. Create an AMI for this instance

• In the AWS console, select the instance you just launched
• Actions => Image => Create Image.
• Give a name and a description to your instance, then Create Image.

• By default, Amazon will reboot your instance. You can choose not too by ticking the No Reboot window.

  The system is going down for reboot NOW! Control-Alt-Delete pressed Connection to ec2-52-62-15-17.ap-southeast-2.compute.amazonaws.com closed by remote host. Connection to ec2-52-62-15-17.ap-southeast-2.compute.amazonaws.com closed.

• By checking on the AMI pane in the console, you should see your image being created.

• You can now launch an instance from your new AMI.
• It contains all the packages that we installed in step 2.