Please go to https://growth.rcpch.ac.uk/products/python-library/ for full documentation.
Issues can be raised here https://github.com/rcpch/rcpchgrowth-python/issues
If you want to avoid setting up docker environments, there are shortcut scripts the create a dockerized environment with RCPCHGrowth already installed.
This will generate a container which will launch some Jupyter notebooks in a browser and allow local dev ( with hot reload).
s/uppip install rcpchgrowthWith notebook & package dependencies:
pip install "rcpchgrowth[notebook]"The notebook extra currently pulls in: pandas, matplotlib, jupyterlab, ipykernel.
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Data handling & privacy Never commit identifiable patient data. • Keep raw identifiable data outside version control (secure, access‑controlled). • De‑identify before analysis (remove names, NHS numbers, full DOB; date‑shift if required). • Do not push raw exports to forks, PRs or gists. • Use ResearchTemplate.ipynb for generating de‑identified derived outputs.If in doubt, stop and seek local information governance guidance. |
See issues list and please open discussions before large changes.
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