# purkinje-learning-myocardial-mesh
A Python library for modeling, manipulating, and analyzing Purkinje fiber networks embedded in myocardial meshes — useful in computational cardiology, electrophysiology modeling, and bioengineering research.
---
## Features
- Parse and manipulate myocardial mesh data
- Integrate Purkinje network geometries
- Designed for computational simulation environments
- Structured for maintainability and versioned releases
- Automated testing with `pytest` and CI-friendly config
---
## Installation
```bash
pip install myocardial-mesh
```
For development:
```bash
pip install -e ".[dev]"
```
Dependencies and development requirements are managed via `pyproject.toml`.
---
## Usage
Here’s a basic example (assumes functional API in `myocardial_mesh` or similar module):
```python
from myocardial_mesh import load_mesh, attach_purkinje_network
mesh = load_mesh("data/mesh.vtk")
network = attach_purkinje_network(mesh)
network.simulate()
```
---
## Versioning & Release
This project uses `release-please` to automate versioning and changelog generation.
Follow [Conventional Commits](https://www.conventionalcommits.org/) to trigger releases.
Example commit:
```csharp
feat: add new Purkinje-mesh attachment algorithm
```
---
## License
This project is licensed under the terms of the MIT license.
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"description": "# purkinje-learning-myocardial-mesh\n\nA Python library for modeling, manipulating, and analyzing Purkinje fiber networks embedded in myocardial meshes \u2014 useful in computational cardiology, electrophysiology modeling, and bioengineering research.\n\n---\n\n## Features\n\n- Parse and manipulate myocardial mesh data \n- Integrate Purkinje network geometries \n- Designed for computational simulation environments \n- Structured for maintainability and versioned releases \n- Automated testing with `pytest` and CI-friendly config \n\n---\n\n## Installation\n\n```bash\npip install myocardial-mesh\n```\n\nFor development:\n\n```bash\npip install -e \".[dev]\"\n```\n\nDependencies and development requirements are managed via `pyproject.toml`.\n\n---\n\n## Usage\n\nHere\u2019s a basic example (assumes functional API in `myocardial_mesh` or similar module):\n\n```python\nfrom myocardial_mesh import load_mesh, attach_purkinje_network\n\nmesh = load_mesh(\"data/mesh.vtk\")\nnetwork = attach_purkinje_network(mesh)\nnetwork.simulate()\n```\n\n---\n\n## Versioning & Release\n\nThis project uses `release-please` to automate versioning and changelog generation. \nFollow [Conventional Commits](https://www.conventionalcommits.org/) to trigger releases.\n\nExample commit:\n\n```csharp\nfeat: add new Purkinje-mesh attachment algorithm\n```\n\n---\n\n## License\n\nThis project is licensed under the terms of the MIT license.\n",
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