SciPy 1.0: fundamental algorithms for scientific computing in Python. Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, E., Carey, C. J., Polat, İ., Feng, Y., Moore, E. W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E. A., Harris, C. R., Archibald, A. M., Ribeiro, A. H., Pedregosa, F., & van Mulbregt, P. Nature Methods, 17(3):261–272, March, 2020. Number: 3 Publisher: Nature Publishing Group![SciPy 1.0: fundamental algorithms for scientific computing in Python [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
@article{virtanen2020,
title = {{SciPy} 1.0: fundamental algorithms for scientific computing in {Python}},
volume = {17},
copyright = {2020 The Author(s)},
issn = {1548-7105},
shorttitle = {{SciPy} 1.0},
url = {https://www.nature.com/articles/s41592-019-0686-2},
doi = {10.1038/s41592-019-0686-2},
abstract = {SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.},
language = {en},
number = {3},
urldate = {2023-07-28},
journal = {Nature Methods},
author = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and van der Walt, Stéfan J. and Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and Kern, Robert and Larson, Eric and Carey, C. J. and Polat, İlhan and Feng, Yu and Moore, Eric W. and VanderPlas, Jake and Laxalde, Denis and Perktold, Josef and Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and Harris, Charles R. and Archibald, Anne M. and Ribeiro, Antônio H. and Pedregosa, Fabian and van Mulbregt, Paul},
month = mar,
year = {2020},
note = {Number: 3
Publisher: Nature Publishing Group},
keywords = {Biophysical chemistry, Computational biology and bioinformatics, Technology},
pages = {261--272},
file = {Full Text PDF:/Users/lcneuro/Zotero/storage/9NV5LFR6/Virtanen et al. - 2020 - SciPy 1.0 fundamental algorithms for scientific c.pdf:application/pdf},
}
Downloads: 0
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