part-0-setup.md

Setting up our environment for the API tutorial.

Initial Requirements:

• Python 2.x
• virtualenv You can either download directly, or:
  • Mac: $ sudo easy_install virtualenv
  • Ubuntu: $ sudo apt-get virtualenv
  • Fedora: $ sudo yum install python-virtualenv
  • Windows: Download manually
• virtualenvwrapper You can either download it directly, or:
  • Mac: $ sudo easy_install virtualenvwrapper
  • Ubuntu: $ sudo apt-get virtualenvwrapper
  • Fedora: $ sudo yum install python-virtualenvwrapper
  • For Mac, Ubuntu, and Fedora:
    • $ export WORKON_HOME=~/Envs
    • $ mkdir -p $WORKON_HOME
    • $ source /usr/local/bin/virtualenvwrapper.sh
  • Windows: Download manually and follow install instructions

Setup

Within your terminal:

• Change into the APIs project:

$ cd new-coder/apis

• Make sure you’ve installed virtualenvwrapper and followed the steps above from Initial Requirements above to set up your terminal correctly. More information can be find at virtualenvwrapper’s docs.
• Make a virtual environment specific to your Data Viz project:

$ mkvirtualenv APIProj

• You should see (APIProj) before your prompt. Now install package requirements with the following command for this project.

(APIProj) $ pip install -r requirements.txt

• Your virtual environment will store the required packages in a self-contained area to not mess up with other Python projects.

[Continue on to Part 1: Setup Raw Data →]( {{ get_url("Part-1-Setup-raw-data/")}})

Sadly, you have to install numpy manually before using the requirements.txt.