flannsmith/Airport_data

Data structures and algorithms project where given a list of 5 airports (including to the home airport) that a given plane needs to visit in a week, the most economic route must be found.

Airports

This is a candidate solution for the term project of COMP20230.

Prerequisites

This project was created in a Python 3.6 environment. It will be easier to set up the project if you install Anaconda or Miniconda. Other options, such as PyEnv and classic virtual environment (i.e. venv), will also work.

Installation and Setup

Run the following commands in Terminal:

git clone git@github.com:flannsmith/Airport_data.git
cd Airport_data
conda env create -f=environment.yml OR conda create -n comp2023017202469 Python=3.6
source activate comp2023017202469 OR activate comp2023017202469
pip install -r requirements.txt

Running the Program

From the project directory (in Terminal), run this command

python main.py 'testrouteFilePath'

where 'testrouteFilePath' is the complete path to the testroutes.csv file