Scientific computing
Move from Jupyter
Bring the scientific project intact while being explicit about notebook UI versus script/runtime workflows.
Typical migration: Moderate · Best method: Local folder · Git · ZIP
Before You Move
- Collect `.ipynb`, scripts, datasets and environment/requirements files.
- Record kernel/package versions when reproducibility matters.
- Identify generated files that should or should not be versioned.
Migration Steps
- 1. Import — Bring the project via folder, Git or ZIP.
- 2. Environment — Install Python/R dependencies from reproducible manifests.
- 3. Scripts — Run script-based analysis through the editor/terminal.
- 4. Notebook files — Keep `.ipynb` files as project assets; do not assume a dedicated notebook UI unless separately available.
- 5. Verify — Regenerate key outputs/plots and compare them.
Where Things Go
| Jupyter project | Interactive Shell project |
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| Kernel environment | Project/runtime dependencies |
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| Notebook terminal | Interactive Terminal |
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| Markdown/LaTeX outputs | Project docs / LaTeX-PDF workflow |
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Verify
- Dependencies install.
- Key scripts run.
- Plots/data outputs reproduce.
- Notebook files remain intact.
Common Issues
- Notebook UI — Interactive Shell does not claim a first-class Jupyter notebook UI unless that feature is separately enabled.
- Hidden environment state — Capture package versions instead of relying on an old kernel environment.
Last reviewed 2026-09-07.