This tool allows you to retrieve and analyze information about National Tsing Hua University (NTHU) classmates from the Academic Information System. It has been tested in Python 3.12 and Google Chrome Version 120.0.6099.71 (Official Build) (64-bit). Due to personal data protection regulations, classmate data in the Academic Information System will be unavailable after February 1, 2024.
An alternative method for retrieving classmate data can be found here.
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Create a virtual environment:
conda create -n classmate python=3.12
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Activate the virtual environment:
conda activate classmate
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Install the required packages:
pip install -r requirements.txt
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Run the script to fetch classmate data:
python get_classmate.py
The Academic Information System page will pop up; please manually login, then the program will take over. Wait for it to finish, and data will be saved to ./classmate/*.csv
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Analyze course data:
jupyter nbconvert --output-dir classmate --to html --execute --no-input analyze_courses.ipynb
analyze_courses.html will be saved to ./classmate/
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Combining classmates and courses:
jupyter execute combine_classmates_courses.ipynb
classmates.csv will be saved to ./classmate/
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Analyze classmates data:
jupyter nbconvert --output-dir classmate --to html --execute --no-input analyze_classmates.ipynb
analyze_classmates.html will be saved to ./classmate/
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Course code mappings to departments and colleges can be found here and saved as
course_code.csv. -
Understanding the student ID encoding principles at NTHU starting from the 100th academic year can be found here.
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The following JSON files can assist in parsing student IDs to departments and colleges:
college.jsondepartment.jsondepartment_graduate.jsonclass_id.json
Feel free to explore and customize the code for your specific needs! If you encounter any issues or have suggestions for improvement, please let me know.