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Sean Reidy and Steven Jaffe PennCourseHelper incorporates many topics that we learned over the course of the semester, including api's (specifically, PCH uses the penncoursereview api), flask, regular expressions, modules, json, posting methods, and heroku (as well as classic favorites such as if/else statements). The two modules we implemented were helping students plan a schedule based on their major, preferences, and coruse history, and helping students choose a course from a department given similar parameters. To use schedule, you should input a year, major (choose from the drop- down list) and enter any classes you've taken (each course should be of the format DEPTNUM e.g. HIST027 or CIS110, no dash, all uppcase, no space..., and each course should be separated by a comma e.g. HIST027, CIS110), as well as preferences (at least one, each from drop- downs) for courses. To use decide on a course, you should do the same thing except you'll choose department from a scrollable list (you can choose more than one by holding down command for macs or control for windows) instead of a major. The runtime isn't exactly ideal. This is mostly due to the fact that our post requests, though optimized in number, need a lot of information from PCH. If this were to be used on a full-scale production scale, we would probably incorporate threads (or even another language) for better speed. The version we're submitting can be run locally, but can also be used online (using heroku) by going to secret-wave-9704.herokuapp.com Most of the methods we actually use are in Methods.py. The information we need for courses (e.g. co/prerequeisites) we had to create our own datastructures to store, and can be found in Data.py. The code for laying out the pages for create schedule and decide on a course, as well as the main code for those methods are in main.py (they call methods in Methods.py).
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Python source files for the Penn Course Helper project. Developed by Sean Reidy and Steven Jaffe.
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