SciPy 1.0: fundamental algorithms for scientific computing in Python

Virtanen, Pauli; Gommers, Ralf; E. Oliphant, Travis; Haberland, Matt; Reddy, Tyler; Cournapeau, David; Burovski, Evgeni; Peterson, Pearu; Weckesser, Warren; Bright, Jonathan; van der Walt, Stéfan; Brett, Matthew; Wilson, Joshua; Jarrod Millman, K.; Mayorov, Nikolay; Nelson, Andrew; D. Jones, Eric; Kern, Robert; R. Larson, Eric; Carey, CJ; Polat, İlhan; Feng, Yu; Moore, Eric; Vanderplas, Jake; Laxalde, Denis; Perktold, Josef; Cimrman, Robert; Henriksen, Ian; A. Quintero, E.; R. Harris, C.; M. Archibald, Anne; H. Ribeiro, Antônio; Pedregosa, Fabian; van Mulbregt, Paul; Vijaykumar, A.; Pietro Bardelli, Alessandro; Rothberg, Alex; Hilboll, Andreas; Kloeckner, Andreas; Scopatz, Anthony; Lee, Antony; Rokem, Ariel; Woods, Charles; Fulton, Chad; Masson, Charles; Häggström, Christian; Fitzgerald, C; Nicholson, David; Hagen, David; V. Ṗasechnik, Dmitrii

doi:10.17863/cam.64134

Public

SciPy 1.0: fundamental algorithms for scientific computing in Python

Shared by NobleBlocks on Jul 28, 2019 • 12:00 AM UTC

Authors:

Pauli Virtanen

Ralf Gommers

Travis E. Oliphant

Abstract

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 10...

Subject

Python (programming language)

Computer science

Algorithm

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