@article{033a2a253b584583b51d9970b288ae6a,
title = "SciPy 1.0: fundamental algorithms for scientific computing in Python",
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.",
author = "{SciPy 1.0 Contributors} and Pauli Virtanen and Ralf Gommers and Oliphant, {Travis E.} and Matt Haberland and Tyler Reddy and David Cournapeau and Evgeni Burovski and Pearu Peterson and Warren Weckesser and Jonathan Bright and {van der Walt}, {St{\'e}fan J.} and Matthew Brett and Joshua Wilson and Millman, {K. Jarrod} and Nikolay Mayorov and Nelson, {Andrew R.J.} and Eric Jones and Robert Kern and Eric Larson and Carey, {C. J.} and İlhan Polat and Yu Feng and Moore, {Eric W.} and Jake VanderPlas and Denis Laxalde and Josef Perktold and Robert Cimrman and Ian Henriksen and Quintero, {E. A.} and Harris, {Charles R.} and Archibald, {Anne M.} and Ribeiro, {Ant{\^o}nio H.} and Fabian Pedregosa and {van Mulbregt}, Paul and Aditya Vijaykumar and Bardelli, {Alessandro Pietro} and Alex Rothberg and Andreas Hilboll and Andreas Kloeckner and Anthony Scopatz and Antony Lee and Ariel Rokem and Woods, {C. Nathan} and Chad Fulton and Charles Masson and Christian H{\"a}ggstr{\"o}m and Clark Fitzgerald and Nicholson, {David A.} and Hagen, {David R.} and Pasechnik, {Dmitrii V.}",
note = "Funding. The development cost of SciPy is estimated in excess of 10 million dollars by Open Hub (https://www.openhub.net/p/scipy/ estimated_cost). Yet the project is largely unfunded, having been developed predominantly by graduate students, faculty and members of industry in their free time. Small amounts of funding have been applied with success: some meetings were sponsored by universities and industry, Google{\textquoteright}s Summer of Code program supported infrastructure and algorithm work, and teaching grant funds were used early on to develop documentation. However, funding from national agencies, foundations and industry has not been commensurate with the enormous stack of important software that relies on SciPy. More diverse spending to support planning, development, management and infrastructure would help SciPy remain a healthy underpinning of international scientific and industrial endeavors.",
year = "2020",
month = mar,
day = "1",
doi = "10.1038/s41592-019-0686-2",
language = "English (US)",
volume = "17",
pages = "261--272",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "American Chemical Society",
number = "3",
}