Introduction to Computer Science for Biologists / 생물학자를 위한 전산학 개론

Course taken at Seoul National University in 2019 spring semester.

Disclaimers

The author did not intentionally make the choice of using Hungarian notation + small camel case to name variables. The author is very well aware that snake case is the canonical way to name variables in Python. It was a requirement forced by the lecturer.
Code reusing was not allowed by the lecturer as the submission was required to be a single file. The author is aware that some classes were defined multiple times.
The author got B+ in this course. It doesn't mean the code produces wrong results, though. That said, don't rely on this repo to get a good grade.

Clone the repo
Set up proper environemt either via: 1.1. pip install -r requirements.txt 1.2. conda env create -f environment.yml 1.3. Manually install the required packages, mission 4 requires scipy, mission 5 requires statsmodels. That's it.
Run download_data.sh to download the data
python mission/00/Mission0.py to run the code. Replace 00 and Mission0 with the mission number you want to run. 2.1. Alternatively, use run_all.sh to run all the missions at once
See stdout or check "mission/xx/solutions" for the output.