This repository contains the teaching materials for the BMED322 Python course. It is organized around Jupyter notebooks that cover core Python and data analysis topics for biomedical students.
- Assignment1.ipynb
- Assignment2.ipynb
- Univariate_Data_Analysis.ipynb
- Multivariate_Data_Analysis.ipynb
- AI_and_coding.md
- Reproducible_science.md
The course aims to provide introductory Python resources for professors and master's students in biomedicine. The materials focus on practical coding, data analysis, reproducible workflows, and good documentation habits.
- Open the notebooks in Jupyter, VS Code or Github Codespaces.
- Work through the assignments and analysis notebooks in order.
- Refer to the supporting markdown files for guidance on AI-assisted coding and reproducible science.
- Use the repository as a template for your own analysis and assignment work.
If you want to update or extend the course material, please read CONTRIBUTING.md before making changes.
This project is distributed under the terms of the LICENSE file.