pythtb 2.0.1
Python library for constructing and analyzing tight-binding models.
Requires Python: >=3.12
Keywords: physics, tight binding, solid state physics, condensed matter physics, materials science

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PythTB is a Python library for constructing and analyzing tight-binding models, built for modern topological band theory applications. It provides a streamlined path from model specification to physical interpretation, making it useful for both learning electronic structure and conducting research-level studies. With only a few lines of code, you can define lattice models, build tight-binding Hamiltonians, and compute electronic properties.

PythTB provides tools for:
- Band structures and density of states
- Berry phases and Berry curvature
- Chern numbers, Wilson loops, and related invariants
- Quantum geometric tensors and local Chern markers
- Chern-Simons axion angle
- Maximally localized Wannier functions
- Wannier-based tight-binding models generated through Wannier90


## Resources
- **Documentation**: https://pythtb.readthedocs.io/en/latest/
- **Contributing**: https://pythtb.readthedocs.io/en/latest/development.html
- **Tutorials**: https://pythtb.readthedocs.io/en/latest/tutorials.html
- **Formalism**: https://pythtb.readthedocs.io/en/latest/formalism.html
- **Source**: https://github.com/pythtb/pythtb
- **Report Issues**: https://github.com/pythtb/pythtb/issues


## Installation

PythTB is available through conda-forge (recommended) and PyPI.

```bash
# Conda (pythtb >= 1.8.0)
conda install -c conda-forge pythtb

# pip
pip install pythtb
```

To install from source in editable mode:

```bash
git clone https://github.com/pythtb/pythtb.git
cd pythtb
pip install -e .
```

PythTB ≥ 2.0.0 requires Python ≥ 3.12 and the core dependencies:
- numpy ≥ 2.0
- matplotlib ≥ 3.9

Optional extras can be installed via `pip install .[group]`:

- `[plotting]`: Plotly for interactive visualization
- `[speedup]`: TensorFlow for GPU-accelerated routines
- `[notebooks]`: Jupyter support (IPython ≥ 8.17, ipykernel, notebook, jupyter, jupyterlab)
- `[docs]`: Sphinx toolchain for documentation
- `[tests]`: pytest
- `[dev]`: developer tools (pytest, ruff, pre-commit)

For more detailed instructions, see:
- [Full Installation Guide](https://pythtb.readthedocs.io/en/latest/install.html)
- [Wiki](https://github.com/pythtb/pythtb/wiki/Installation-Instructions-for-Developers)

## Citation

If you use the code in your paper, please cite us

```bibtex
@software{Cole_Python_Tight_Binding_2025,
author = {Cole, Trey and Coh, Sinisa and Vanderbilt, David},
doi = {10.5281/zenodo.12721315},
license = {GPL-3.0-or-later},
month = nov,
title = {{Python Tight Binding (PythTB)}},
url = {https://zenodo.org/records/12721315},
version = {2.0.0},
year = {2025}
}
```