Vagrant + VirtualBox scripts for setting up an Ubuntu (32 bit) Data Science server. If you want to make changes or improvements, don't be shy; send me a note or a pull request.
This system takes a download-it-all approach. As a result, it can take quite a whilte to download everything and set the server up. Do adjust the Vagrantfile to focus only on the tools you need.
- Install VirtualBox
- Install Vagrant
- Set up the Ubuntu Precise32 Vagrant Box
vagrant box add precise32 http://files.vagrantup.com/precise32.box - Run
vagrant upThis should launch the box and download/install a suite of data science tools.
Vagrant can also launch, provision, and manage Amazon AWS instances. For more, read the vagrant-aws page.
vagrant plugin install vagrant-aws- Create a new AWS access key or note the location of your existing key
- Create a 'dummy' vagrant box that will stand in for AWS
vagrant box add awsubuntu https://github.com/mitchellh/vagrant-aws/raw/master/dummy.box - Change the base box in Vagrantfile.aws to 'awsubuntu'
- Add your access ID, key name, and key file location to Vagrantfile.aws
- Copy Vagrantfile.aws over Vagrantfile
- Add port 22, 8888, and 8787 to the default security group on your AWS account, or create a new security group with SSH access and add it to the Vagrant file
- To launch your VM, run
vagrant up --provider=aws
- Python NLTK
- Python Stanford Core NLP Library, with Web API
- iPython Notebook
- R Studio
- Python Scikit-learn
- Vim
- Screen
Port forwarding is automatically set up on port 8787. If you're running Vagrant locally, load localhost:8787. If remotely, load http://SERVER_ADDRESS:8787 The default username and password match the default password of Vagrant.
The proxy is automatically set up on port 8888. run ipython notebook and access localhost:8888
If you launch other servers, you need to set up port forwarding. Read this guide to [port forwarding on Vagrant] (http://docs-v1.vagrantup.com/v1/docs/getting-started/ports.html)
python corenlp-python/corenlp/corenlp.py