A Django-powered Twitterbot engine based on super-simple Markov chains

• Markov chain code comes from this nifty blog article: http://agiliq.com/blog/2009/06/generating-pseudo-random-text-with-markov-chains-u/

• Download to your local repo folder/upload to your server/whatever
• Modify the credentials.py and the local_settings.py files
• python manage.py makemigrations + python manage.py migrate
• Either run spider.py and updater.py manually (awkward...) or set up a scheduler/cron job to run them at regular intervals
• That should be it!

• Clean up code structure
• Write some tests
• Improve scraper models in order to get rid of some general awkwardness (i.e. FirstWord model)
• Add views for data visualisation
• Add tests!