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; SciPy 1.0 Contributors; 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 A. Brodtkorb; Perry Lee; Robert T. McGibbon; Roman Feldbauer; Sam Lewis; Sam Tygier; Scott Sievert; Sebastiano Vigna; Stefan Peterson; Surhud More; Tadeusz Pudlik; Takuya Oshima; Thomas J. Pingel; Thomas P. Robitaille; Thomas Spura; Thouis R. Jones; Tim Cera; Tim Leslie; Tiziano Zito; Tom Krauss; Utkarsh Upadhyay; Yaroslav O. Halchenko; Yoshiki Vázquez-Baeza

doi:10.1038/s41592-019-0686-2

SciPy 1.0: fundamental algorithms for scientific computing in Python

SciPy 1.0: фундаментальные алгоритмы для научных вычислений на языке 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, SciPy 1.0 Contributors, 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 A. Brodtkorb, Perry Lee, Robert T. McGibbon, Roman Feldbauer, Sam Lewis, Sam Tygier, Scott Sievert, Sebastiano Vigna, Stefan Peterson, Surhud More, Tadeusz Pudlik, Takuya Oshima, Thomas J. Pingel, Thomas P. Robitaille, Thomas Spura, Thouis R. Jones, Tim Cera, Tim Leslie, Tiziano Zito, Tom Krauss, Utkarsh Upadhyay, Yaroslav O. Halchenko, Yoshiki Vázquez-Baeza

2020-02-03

SCID: 54.1/qkpujy5v Discuss with AI

Python programming languageSciPy 1.0open-source softwarescientific algorithmsscientific computing

Abstract (AI)

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.

Key Findings

SciPy 1.0 summarizes the library’s capabilities, development practices, and recent technical developments.

SciPy is an open-source Python library providing fundamental algorithms for scientific computing.

SciPy’s ecosystem includes over 600 code contributors, thousands of dependent packages, more than 100,000 dependent repositories, and millions of annual downloads.

Since its 2001 release, SciPy has become a de facto standard for using scientific algorithms in Python.

Research Object

The SciPy 1.0 open-source scientific computing library for Python

Research Subject

The capabilities, development practices, and recent technical developments of SciPy 1.0

Publication Details

DOI

10.1038/s41592-019-0686-2

Publication Date

2020-02-03

Journal

Publisher

ISSN

Open access PDF

https://doi.org/10.1038/s41592-019-0686-2

Access Type

Author Information

Authors

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

SciPy 1.0 Contributors

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 A. Brodtkorb

Perry Lee

Robert T. McGibbon

Roman Feldbauer

Sam Lewis

Sam Tygier

Scott Sievert

Sebastiano Vigna

Stefan Peterson

Surhud More

Tadeusz Pudlik

Takuya Oshima

Thomas J. Pingel

Thomas P. Robitaille

Thomas Spura

Thouis R. Jones

Tim Cera

Tim Leslie

Tiziano Zito

Tom Krauss

Utkarsh Upadhyay

Yaroslav O. Halchenko

Yoshiki Vázquez-Baeza

Download PDF

Make a presentation

References available in scid.ai3

Observation of Gravitational Waves from a Binary Black Hole Merger2016 The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package *2018 A Simplex Method for Function Minimization1965

Cited by17

GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run2023 Search for an Isotropic Gravitational-wave Background with the Parkes Pulsar Timing Array2023 GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo during the First Half of the Third Observing Run2021 Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment2021 Surface tension models for binary aqueous solutions: a review and intercomparison2023 Cryoscope: A Cryogenic Infrared Survey Telescope in Antarctica2025 Particle-based simulation of atom and ion transport in HiPIMS: effect of the plasma potential distribution on the ionized flux fraction2023 Induction of broadly neutralizing HIV antibodies by a two-step mechanism informs vaccine design2026 A Benchmark of In-House Homologous Recombination Repair Deficiency Testing Solutions for High-Grade Serous Ovarian Cancer Diagnosis2023 Opposing range-dependent interactions create complex spatial patterns of antibiotic tolerance in multispecies biofilms2026 Clocked stepping of an artificial protein walker along a DNA track2026 Spatially distributed complex organic matter detected in an ancient river valley in Jezero crater, Mars2026 metilene3: identifying DMRs across multiple conditions with auto-classification2026 Manipulation of protein translation and stem cell self-renewal by CRISPR activation of rRNA transcription2026 Universal resources for quantum approximate optimization algorithm and quantum annealing2026 Gaia Early Data Release 32020 Array programming with NumPy2020