python-reproducibility-guide - Reproducible Python Research Environments
Set up reproducible Python environments using virtual environments, dependency management, Jupyter notebooks, and containerization
Tags
Updated: 2026-05-11Capabilities
Typical Inputs
Typical Outputs
What this skill does
- create virtual environment
- install Python packages
- convert Jupyter notebook
- set random seed
- build Docker image
- run analysis pipeline
Inputs
- requirements.txt
- pyproject.toml
- data files
- source code
- Jupyter notebooks
Outputs
- virtual environment
- Jupyter notebooks
- Python scripts
- HTML reports
- PDF reports
- log files
- figures
- Docker images
Requirements
- Python 3.10+
- Docker (optional)
- Jupyter