Software Used In Project

Python

• Python 2.7 is the Language the Alaska Affordable Energy Model is written in.
• NumPy functions and datatypes were used for applying financial functions.
• pandas was used for maipulation of data tables.
• matplotlib was used for the plotting feature of the forecast.
• PyYAML was used for reading and writing the yaml configuration files.
• pycommand used in the creation of the command line interface.
• IPython used a primary python interpreter during development.
• Sphinx used for generating documentation.
• Numpydoc is a plugin for sphinx used to handle NumPy style docstrings. Code documentation follows the numpy standard.
• Jinja2 is the template engine used to create the web summaries.

Web

• Bootstrap was used for the stylish stylings of the web summaries.
• Google Charts was used for the charts in the web summaries.
• Leaflet was used for the maps in the web summaries.