Programming for Data Science Programming Lab - Scheduling Analytics - Programmatically Creating and Optimizing an Airline Schedule
Scenario -
A new startup airline is needing help with creating and optimizing a flight schedule. They have hired you as a data scientist to create and optimize a flight schedule. The airlines will be all business class and cater to business travel. All aircraft are configured exactly the same and can fly any route in the system interchangeably. The airline will serve Dallas Love Field (DAL), Austin Bergstrom (AUS), and Houston Hobby (HOU).
Individual Assignment -
This assignment in an individual assignment. You may consult with other student about general approaches to solving the problem and for asking for help to resolve stack traces, but all coding must be your own work. An electronic comparison for similarities in submissions will be made. Any similarities greater than 70% will be investigated by the instructor, with possible referrals for academic dishonesty.
Python Program -
You will write a single file Python program in Jupyter Notebook format named create_flight_schedule.ipynb to accomplish them. The input data from the charts above may be hard coded into Python data structures. No input files will be required. The program must run successfully and create an output file flight_schedule.csv.
Attachment:- Assignment File.rar