SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson; Warren Weckesser; Jonathan Bright; Stéfan J. van der Walt; Matthew Brett; Joshua Wilson; K. Jarrod Millman; Nikolay Mayorov; Andrew R. J. Nelson; Eric Jones; Robert Kern; Eric Larson; C J Carey; İlhan Polat; Yu Feng; Eric W. Moore; Jake VanderPlas; Denis Laxalde; Josef Perktold; Robert Cimrman; Ian Henriksen; E. A. Quintero; Charles R. Harris; Anne M. Archibald; Antônio H. Ribeiro; Fabian Pedregosa; Paul van Mulbregt; Aditya Vijaykumar; Alessandro Pietro Bardelli; Alex Rothberg; Andreas Hilboll; Andreas Kloeckner; Anthony Scopatz; Antony Lee; Ariel Rokem; C. Nathan Woods; Chad Fulton; Charles Masson; Christian Häggström; Clark Fitzgerald; David A. Nicholson; David R. Hagen; Dmitrii V. Pasechnik; Emanuele Olivetti; Eric Martin; Eric Wieser; Fabrice Silva; Felix Lenders; Florian Wilhelm; G. Young; Gavin A. Price; Gert-Ludwig Ingold; Gregory E. Allen; Gregory R. Lee; Hervé Audren; Irvin Probst; Jörg P. Dietrich; Jacob Silterra; James T Webber; Janko Slavič; Joel Nothman; Johannes Buchner; Johannes Kulick; Johannes L. Schönberger; José Vinícius de Miranda Cardoso; Joscha Reimer; Joseph Harrington; Juan Luis Cano Rodríguez; Juan Nunez-Iglesias; Justin Kuczynski; Kevin Tritz; Martin Thoma; Matthew Newville; Matthias Kümmerer; Maximilian Bolingbroke; Michael Tartre; Mikhail Pak; Nathaniel J. Smith; Nikolai Nowaczyk; Nikolay Shebanov; Oleksandr Pavlyk; Per (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3), 261-272. https://doi.org/10.1038/s41592-019-0686-2