 | |
 PSD of ECG using SciPy | |
| Original author(s) | Travis Oliphant, Pearu Peterson, Eric Jones |
|---|---|
| Developer(s) | Community library project |
| Initial release | Around 2001 |
| Stable release | 1.11.1
/ 28 June 2023 |
| Repository | |
| Written in | Python, Fortran, C, C++[1] |
| Operating system | Cross-platform |
| Type | Technical computing |
| License | BSD-new license |
| Website | scipy |
SciPy (pronounced /ˈsaɪpaɪ/ "sigh pie"[2]) is a free and open-source Python library used for scientific computing and technical computing.[3]
SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE 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).[4] 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.
- ^ SciPy Team. "How can SciPy be fast if it is written in an interpreted language like Python?". Retrieved 2022-04-11.
- ^ https://scipy.org/ "SciPy (pronounced "Sigh Pie")"
- ^ Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; et al. (3 February 2020). "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.
{{cite journal}}:|author35=has generic name (help)CS1 maint: numeric names: authors list (link) (erratum) - ^ "Upcoming SciPy Conferences 2023". SciPy Conferences. Retrieved May 11, 2023.