code challenge for integrating data from two different APIs

• hit data.nasa.gov and beta.data.worldbank.org
  • do not download any datasets
• only look at data from 2008 - 2010
• use the data to answer the questions
  • use other APIs if necessary
  • answers should be in the following format:

Q: How many records are in the dataset? A: 45,716

• ignoring irrelevant data is okay (for now..)
• use Python 3 and any libraries you feel are of use

• clone the repo
• run make venv (to create the virtualenv)
• activate the virtual env (e.g. source venv/bin/activate)
• run make install
• run make dev-server to demo on your machine
  • if you have any secrets, put them in a .env file at the project root like so:
    • NASA_APP_TOKEN=thisisanapptoken...
    • NASA_SECRET_TOKEN=thisisasecret...
  • be sure you have a redis instance up and running (e.g. $ redis-server)
  • make shell to sandbox ideas
  • travelling to the /questions endpoint will show all questions
  • travelling to the /answers/<year> will show pertinent data
• run make dev-deploy to demo on a debian/jessie64 box
  • nginx fields http requests and forwards them to a uwsgi app server hosting a Flask app
  • go to localhost:8080 to access the app
  • make clean gets rid of everything
  • vagrant ssh to poke around the VPS, but you shouldn't need to :)