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From Notebook to Package

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Move reusable code out of notebooks.

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Plan moving code from a notebook to a package. Notebook description and the functions in it: [NOTEBOOK_FUNCTIONS]. Team size and how the code will be used: [TEAM_USE].

Create a migration plan: identify reusable functions, define inputs and outputs, remove hidden state and global variables, add type hints and docstrings, place code into modules, write tests, and leave the notebook as a thin narrative that imports the package. Provide a folder structure, a minimal packaging configuration described in words, and a checklist for each step. Include a risk list (broken imports, different behaviour) and a way to verify identical results before and after.

Add a short example of before and after code for one function, labelled as an illustration, and a list of signs that code should stay in the notebook. Include a plan for versioning the package inside the team and a rule that results in reports must record the package version used.

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Reusable: clean_dates, add_features, load_orders.
Migration steps
1. Remove globals; pass df and config in.
2. Add type hints and docstrings.
3. Move code to package/cleaning.py.
4. Write 6 tests with tiny DataFrames.
5. Notebook imports the package and keeps the narrative.
Before: cell with 80 lines referencing global df.
After: df = clean_dates(df, column="order_date")
Verification: run the old notebook and new one on the same file; compare outputs with assert_frame_equal.
Risks: import errors from relative paths; different default arguments; a notebook that quietly relied on a variable defined in an earlier cell.
Done when: the notebook runs top to bottom in a clean environment and the package tests pass.

• notebooks