This project contains configuration files for provisioning a full ipython notebook setup including
- numpy
- matplotlib (inline graphics enabled)
- pandas
- gensim
- nltk
- textblob
- ggplot
Docker installation
For creating a server version of ipython notebook, running within a Docker container
See the ./Docker directory README for instructions.
Vagrant installation
For creating a local version of ipython notebook, running within a vagrant virtual machine. Once vagrant is installed on Windows/OS X/Linux, you should be able to easily bring up an ipython notebook server that you can access through your webbrowser on your local machine.
See the ./Vagrant directory README for instructions.
We developed this in the context of a Digital Humanities course offered at Columbia University:
http://www.columbia.edu/cu/bulletin/uwb/subj/ENGL/S3024-20142-001/
- Graham Sack
- Jonah Bossewitch
- Anders Pearson