Skip to content

Latest commit

 

History

History
25 lines (23 loc) · 1.02 KB

README.md

File metadata and controls

25 lines (23 loc) · 1.02 KB

Computer Engineering [UFPB] (grade analysis)

An easy way to view how grades behaved throughout the semesters, generating a txt and plotting graphs related to grades means and separating the student performance by knowledge area

Installing

pip install selenium
pip install urllib
pip install plotly
pip install statistics

Install a webdriver (same version of your browser)

You might also need to include it in system PATH:

How to run

The student should pass login and password from [sigaa] as command line arguments

python sigaa_grades.py <login> <password>

Results

semesters


knowledge_areas