Treffer: SciPy 1.0: fundamental algorithms for scientific computing in Python

Title:
SciPy 1.0: fundamental algorithms for scientific computing in Python
Authors:
Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., Walt, S.J., van Der, Brett, M., Wilson, J., Millman, K.J., Mayorov, N., Nelson, A.R.J., Jones, E., Kern, R., Larson, E., Carey, C.J., Polat, I., Feng, Y., Moore, E.W., Vanderplas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E.A., Harris, C.R., Archibald, A.M., Ribeiro, A.H., Pedregosa, F., Mulbregt, P., Van, Vijaykumar, A., Bardelli, A.P., Rothberg, A., Hilboll, A., Kloeckner, A., Scopatz, A., Lee, A., Rokem, A., Woods, C.N., Fulton, C., Masson, C., Häggström, C., Fitzgerald, C., Nicholson, D.A., Hagen, D.R., Pasechnik, D.V., Olivetti, E., Martin, E., Wieser, E., Lenders, F., Silva, Fabrice, Wilhelm, F., Young, G., Price, G.A., Ingold, G.-L., Allen, G.E., Lee, G.R., Audren, H., Probst, Irvin, Dietrich, J.P., Silterra, J., Webber, J.T., Slavič, J., Nothman, J., Buchner, J., Kulick, J., Schönberger, J.L., Miranda Cardoso, J.V., De, Reimer, J., Harrington, J., Rodríguez, J.L.C., Nunez-Iglesias, J., Kuczynski, J., Tritz, K., Thoma, M., Newville, M., Kümmerer, M., Bolingbroke, M., Tartre, M., Pak, M., Smith, N.J., Nowaczyk, N., Shebanov, N., Pavlyk, O., Brodtkorb, P.A., Lee, P., Mcgibbon, R.T., Feldbauer, R., Lewis, S., Tygier, S., Sievert, S., Vigna, S., Peterson, S., More, S., Pudlik, T., Oshima, T., Pingel, T.J., Robitaille, T.P., Spura, T., Jones, T.R., Cera, T., Leslie, T., Zito, T., Krauss, T., Upadhyay, U., Halchenko, Y.O., Vázquez-Baeza, Y.
Contributors:
TKK Helsinki University of Technology (TKK), Quansight LLC, California Polytechnic State University San Luis Obispo (CAL POLY), Los Alamos National Laboratory (LANL), AUTRES, National Research University Higher School of Economics St. Petersburg, Tallinn University of Technology (TalTech), University of California Berkeley (UC Berkeley), University of California (UC), University of Birmingham Birmingham, Skolkovo Innovation Center, Australian Nuclear Science and Technology Organisation Australie (ANSTO), Enthought Inc, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), University of Washington Seattle, University of Massachusetts Amherst (UMass Amherst), University of Massachusetts System (UMASS), Bruker BioSpin Corporation, Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS), SNECMA Villaroche Moissy-Cramayel, SAFRAN Group, New Technologies Research Centre Plzeň (NTC), University of West Bohemia Plzeň, University of Texas at Austin Austin, Astronomical Institute Anton Pannekoek (AI PANNEKOEK), Universiteit van Amsterdam = University of Amsterdam (UvA), Universidade Federal de Minas Gerais = Federal University of Minas Gerais (UFMG), Google LLC, Institute of Environmental Physics Bremen (IUP), Universität Bremen Deutschland = University of Bremen Germany = Université de Brême Allemagne, Istituto Nazionale di Ricerca Metrologica (INRiM), Laboratoire Chrono-environnement (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC), Laboratoire de Mécanique et d'Acoustique Marseille (LMA), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Sons, Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), European Synchrotron Radiation Facility (ESRF), Lab-STICC_ENSTAB_CID_PRASYS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB), Université de Brest (UBO EPE)-Institut National Polytechnique de Bretagne (Bretagne INP)-Université de Brest (UBO EPE)-Institut National Polytechnique de Bretagne (Bretagne INP)-Université de Bretagne Sud (UBS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB), Institut Mines-Télécom Paris (IMT), Max-Planck-Institut für Sonnensystemforschung = Max Planck Institute for Solar System Research (MPS), Max-Planck-Gesellschaft, University of Chicago, Consortium of Advanced Radiation Sciences, Advanced Photon Source, GSECARS, University of Chicago, Laboratoire de physique des gaz et des plasmas (LPGP), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), The Open University Milton Keynes (OU), National Astronomical Observatory of Japan (NAOJ)
Source:
ISSN: 1548-7091.
Publisher Information:
CCSD
Nature Publishing Group
Publication Year:
2020
Collection:
ENSTA ParisTech, Université Paris-Saclay: HAL (École Nationale Supérieure de Techniques Avancées)
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
DOI:
10.1038/s41592-019-0686-2
Rights:
http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
Accession Number:
edsbas.1D97F35F
Database:
BASE

Weitere Informationen

24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper. ; International audience ; 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.24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper.