# RCPCHGrowth Python library
## Calculations for children's measurements against UK and international growth references.
[](https://pypi.org/project/rcpchgrowth/)
[](https://www.gnu.org/licenses/agpl-3.0)
[](https://codespaces.new/rcpch/rcpchgrowth-python?quickstart=1)
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>
---
## Installation
### Docker
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).
```bash
s/up
```
### Minimal installation (without docker) assuming you have a python virtual env setup
```bash
pip install rcpchgrowth
```
With notebook & package dependencies:
```bash
pip install "rcpchgrowth[notebook]"
```
The `notebook` extra currently pulls in: `pandas`, `matplotlib`, `jupyterlab`, `ipykernel`.
## Data handling / privacy
<table>
<tr>
<td width="6" style="background:#11A7F2;"></td>
<td>
<strong>Data handling & privacy</strong><br>
<strong>Never commit identifiable patient data.</strong><br>
• Keep raw identifiable data outside version control (secure, access‑controlled).<br>
• De‑identify before analysis (remove names, NHS numbers, full DOB; date‑shift if required).<br>
• Do not push raw exports to forks, PRs or gists.<br>
• Use <code>ResearchTemplate.ipynb</code> for generating de‑identified derived outputs.<br>
<em>If in doubt, stop and seek local information governance guidance.</em>
</td>
</tr>
</table>
---
## Contributing
See issues list and please open discussions before large changes.
---
Copyright © Royal College of Paediatrics and Child Health
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