Published February 24, 2020 | Version v1
Publication Open

Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python

  • 1. University of Jyväskylä
  • 2. Quansight (United States)
  • 3. Mayo Clinic in Florida
  • 4. California Polytechnic State University
  • 5. Los Alamos National Laboratory
  • 6. National Research University Higher School of Economics
  • 7. University of California, Berkeley
  • 8. University of Birmingham
  • 9. Film Independent
  • 10. Skolkovo Foundation
  • 11. WayRay (Russia)
  • 12. Australian Nuclear Science and Technology Organisation
  • 13. Enthought (United States)
  • 14. University of Washington
  • 15. Amherst College
  • 16. University of Massachusetts Amherst
  • 17. Bruker (United States)
  • 18. University of West Bohemia
  • 19. Brigham Young University
  • 20. The Netherlands Cancer Institute
  • 21. Universidade Federal de Minas Gerais
  • 22. Google (Canada)
  • 23. Google (United States)

Description

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

⚠️ This is an automatic machine translation with an accuracy of 90-95%

Translated Description (Arabic)

تم نشر تعديل على هذه الورقة ويمكن الوصول إليه عبر رابط في الجزء العلوي من الورقة.

Translated Description (French)

Un amendement à ce document a été publié et est accessible via un lien en haut du document.

Translated Description (Spanish)

Se ha publicado una enmienda a este documento y se puede acceder a ella a través de un enlace en la parte superior del documento.

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Additional details

Additional titles

Translated title (Arabic)
تصحيح المؤلف: SciPy 1.0: الخوارزميات الأساسية للحوسبة العلمية في بايثون
Translated title (French)
Correction de l'auteur : SciPy 1.0 : algorithmes fondamentaux pour l'informatique scientifique en Python
Translated title (Spanish)
Corrección del autor: SciPy 1.0: algoritmos fundamentales para la computación científica en Python

Identifiers

Other
https://openalex.org/W3008003211
DOI
10.1038/s41592-020-0772-5

GreSIS Basics Section

Is Global South Knowledge
Yes
Country
Brazil