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Citing Tessero

How to cite Tessero, and the foundational work it relies on.

Citing Tessero

If Tessero has been significant in your work, please cite it, ideally the version you used (see Releases). A per-release DOI will be minted once Tessero is archived; until then, cite by name, version and URL.

Plain text (APA)

Douglas Johnson and the Tessero contributors. (2026). Tessero: numerical computing for PHP (Version 0.2.0). https://tessero.org

BibTeX
@software{tessero,
  title   = {Tessero: numerical computing for PHP},
  author  = {Douglas Johnson and the Tessero contributors},
  year    = {2026},
  version = {0.2.0},
  url     = {https://tessero.org}
}

Works Tessero relies on

Tessero reproduces NumPy and SciPy to verified parity on both backends, and follows their methods. If you use Tessero in research, please also cite their foundational papers. These citation details follow each paper's published record of reference.

NumPy

Harris, C. R., Millman, K. J., van der Walt, S. J., et al. (2020). Array programming with NumPy. Nature, 585, 357-362. https://doi.org/10.1038/s41586-020-2649-2

BibTeX
@article{harris2020array,
  title   = {Array programming with {NumPy}},
  author  = {Harris, Charles R. and Millman, K. Jarrod and van der Walt, St{\'e}fan J. and others},
  journal = {Nature},
  volume  = {585},
  pages   = {357--362},
  year    = {2020},
  doi     = {10.1038/s41586-020-2649-2}
}

SciPy

Virtanen, P., Gommers, R., Oliphant, T. E., et al. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17, 261-272. https://doi.org/10.1038/s41592-019-0686-2

BibTeX
@article{virtanen2020scipy,
  title   = {{SciPy} 1.0: fundamental algorithms for scientific computing in {Python}},
  author  = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and others},
  journal = {Nature Methods},
  volume  = {17},
  pages   = {261--272},
  year    = {2020},
  doi     = {10.1038/s41592-019-0686-2}
}

For a specific algorithm, also consider citing the original method’s paper, Tessero follows the same references as NumPy and SciPy, often listed in each function’s documentation.