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SciPy ○˒｜Definition｜1st｜20251119205401-00-⌔
SciPy
SciPy (pronounced/ˈsaɪpaɪ/“sigh pie”1) is a free and open-source Python library used for scientific computing and technical computing.2
SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, fast Fourier transform, signal and image processing, ordinary differential equation solvers and other tasks common in science and engineering.
SciPy is also a family of conferences for users and developers of these tools: SciPy (in the United States), EuroSciPy (in Europe) and SciPy.in (in India).3 Enthought originated the SciPy conference in the United States and continues to sponsor many of the international conferences as well as host the SciPy website.
The SciPy library is currently distributed under the BSD license, and its development is sponsored and supported by an open community of developers. It is also supported by NumFOCUS, a community foundation for supporting reproducible and accessible science.
Printed 2026-06-28.
Link to original Footnotes
https://scipy.org/“SciPy (pronounced”Sigh Pie”)” ↩
Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; et al. (23 July 2019). “SciPy 1.0: fundamental algorithms for scientific computing in Python” (PDF). Nature Methods. 17 (3): 261–272. arXiv:1907.10121. doi:10.1038/S41592-019-0686-2. ISSN 1548-7091. PMC 7056644. PMID 32015543. Wikidata Q84573952. (erratum) ↩
“Upcoming SciPy Conferences 2023”. SciPy Conferences. Retrieved May 11, 2023. ↩
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