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jupyter-notebook-guide
Best practices for computational research notebooks with reproducible workflows
skills/tools/code-exec/jupyter-notebook-guide/SKILL.md
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# Jupyter Notebook Guide
A skill for using Jupyter notebooks effectively in research contexts. Covers notebook organization, reproducibility best practices, collaboration workflows, and integration with research computing infrastructure.
## Notebook Organization
### Recommended Structure
Every research notebook should follow a consistent structure:
```
01_data_collection.ipynb # Data acquisition and initial storage
02_data_cleaning.ipynb # Preprocessing, validation, transformations
03_exploratory_analysis.ipynb # EDA, descriptive statistics, initial plots