Jupyter Notebooks Best Practices
Numbered cells, clear outputs before commit, papermill for parameterized execution.
The Notebook Double-Edged Sword
Jupyter notebooks are fantastic for exploration: run code in cells, see plots inline, iterate fast. But that same flexibility breeds messy, irreproducible work if you are not disciplined.
This lesson covers habits that keep notebooks clean and trustworthy.
Hidden State: The Core Problem
You can run cells in any order, and earlier results stick around in memory. This hidden state means a notebook can show correct outputs that no fresh run could reproduce.
Almost every notebook best practice exists to fight hidden state.
All lessons in this course
- Professional AI Project Directory Structure
- Git for AI Projects
- Reproducibility: Seeds, Configs, and Environments
- Jupyter Notebooks Best Practices