(http://www.buffalo.edu/cdse/CDSEdayslanding1/cdse-days2017/faculty_directory/SharatChikkerur1.html)

The workshop will present how to combine tools to quickly query, transform and model data using command line tools. The goal is to show that command line tools are efficient at handling reasonable sizes of data and can accelerate the data science process. The content of the workshop is derived from the book of the same name (http://datascienceatthecommandline.com). In addition, we will cover vowpal-wabbit (https://github.com/JohnLangford/vowpal_wabbit) as a versatile command line tool for modeling large datasets.

• Download and install virtual box to run virtual machines. Select the appropriate binary from https://www.virtualbox.org/wiki/Downloads
• Download vagrant to manage pre-built virtual machines. Vagrant is available for most platforms from https://www.vagrantup.com/
• Install the Datascience toolbox

  
    mkdir data-science
    cd data-science
    vagrant init data-science-toolbox/data-science-at-the-command-line
    vagrant up
    vagrant ssh
  

• Once in the virtual machine, install the vowpal wabbit library.
  • You can install it directly from source https://github.com/JohnLangford/vowpal_wabbit
  • You can also install it using 'sudo apt-get install vowpal-wabbit' within the vagrant session
• Clone this repo

  
    git clone https://github.com/sharatsc/cdse/
  

• If you'd like to run the examples in this repo, you should also install the following

  sudo apt-get install ipython-notebook python-statsmodels python-matplotlib