IC Selection Filter Populator

I first approached this task with the idea of creating a Python script using Selenium to automatically select students from the list by manipulating the webpage's DOM.  The selection filter creation screen offers a list of students with the students' student numbers displayed in parentheses.  The script originally loaded student numbers from a CSV file into a list, then iterated through the options, checking to see if the option's student number was in the list.  

In retrospect, this should have been implemented using a Python set rather than a Python list.  With a list lookup's time complexity of O(n), this algorithm has a complexity of O(n^2).  Moving to a set, whose lookup time complexity is O(1), would have resulted in a time complexity of O(n).

Nonetheless, I set up several staff members with the script on their computer, but I was unhappy with the implementation.  Firstly, it was cumbersome to run and required some degree of expertise to use.  I decided to use GitHub for version control and to provide a method to deploy patches and enhancements to users.  This required training for these users in how to navigate Git Bash.  While this mainly involved running git pull periodically, it was intimidating for users and was not fool proof.  I also ran into the problem of Chrome updates breaking the Chromedriver on a fairly consistent basis.  This required me to download the new Chromedriver to the repo, push to GitHub, and tell users to pull changes to their local machines.  I decided that integrating the script directly into Chrome through a Chrome Extension might be the way to go.