Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Cournapeau, David"'
Autor:
Harris, Charles R., Millman, K. Jarrod, van der Walt, Stéfan J., Gommers, Ralf, Virtanen, Pauli, Cournapeau, David, Wieser, Eric, Taylor, Julian, Berg, Sebastian, Smith, Nathaniel J., Kern, Robert, Picus, Matti, Hoyer, Stephan, van Kerkwijk, Marten H., Brett, Matthew, Haldane, Allan, del Río, Jaime Fernández, Wiebe, Mark, Peterson, Pearu, Gérard-Marchant, Pierre, Sheppard, Kevin, Reddy, Tyler, Weckesser, Warren, Abbasi, Hameer, Gohlke, Christoph, Oliphant, Travis E.
Publikováno v:
Nature 585, 357 (2020)
Array programming provides a powerful, compact, expressive syntax for accessing, manipulating, and operating on data in vectors, matrices, and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It plays
Externí odkaz:
http://arxiv.org/abs/2006.10256
Autor:
Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, CJ, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R, Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul, Contributors, SciPy 1. 0
Publikováno v:
Nature Methods 17, 261 (2020)
SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release. SciPy has become a de facto standard for leveraging scientific algor
Externí odkaz:
http://arxiv.org/abs/1907.10121
Autor:
Cournapeau, David
Kyoto University (京都大学)
0048
甲第14881号
情博第361号
新制||情||67(附属図書館)
27303
UT51-2009-K677
学位規則第4条第1項該当
0048
甲第14881号
情博第361号
新制||情||67(附属図書館)
27303
UT51-2009-K677
学位規則第4条第1項該当
Externí odkaz:
http://hdl.handle.net/2433/126467
Autor:
Pedregosa, Fabian, Varoquaux, Gaël, Gramfort, Alexandre, Michel, Vincent, Thirion, Bertrand, Grisel, Olivier, Blondel, Mathieu, Müller, Andreas, Nothman, Joel, Louppe, Gilles, Prettenhofer, Peter, Weiss, Ron, Dubourg, Vincent, Vanderplas, Jake, Passos, Alexandre, Cournapeau, David, Brucher, Matthieu, Perrot, Matthieu, Duchesnay, Édouard
Publikováno v:
Journal of Machine Learning Research (2011)
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpo
Externí odkaz:
http://arxiv.org/abs/1201.0490
Autor:
Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C. J., Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul, SciPy 1.0 Contributors
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,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::9544a145114378547edb66a64a242a93
http://urn.fi/URN:NBN:fi:jyu-202002192111
http://urn.fi/URN:NBN:fi:jyu-202002192111
Autor:
Pedregosa, Fabian, Varoquaux, Gaël, Gramfort, Alexandre, Michel, Vincent, Thirion, Bertrand, Grisel, Olivier, Blondel, Mathieu, Müller, Andreas, Nothman, Joel, Louppe, Gilles, Prettenhofer, Peter, Weiss, Ron, Dubourg, Vincent, Vanderplas, Jake, Passos, Alexandre, Cournapeau, David, Brucher, Matthieu, Perrot, Matthieu, Duchesnay, Édouard
Publikováno v:
Journal of Machine Learning Research
Journal of Machine Learning Research, Microtome Publishing, 2011
Journal of Machine Learning Research, 2011
Scopus-Elsevier
Journal of Machine Learning Research, Microtome Publishing, 2011
Journal of Machine Learning Research, 2011
Scopus-Elsevier
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2eb9c7e88499bee7a3e4ca0c7ecd577
https://hal.inria.fr/hal-00650905
https://hal.inria.fr/hal-00650905
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