Details

Autor(en) / Beteiligte

• 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

Titel

SciPy 1.0: fundamental algorithms for scientific computing in Python

Ist Teil von

• Nature methods, 2020-03, Vol.17 (3), p.261

Ort / Verlag

United States

Erscheinungsjahr

2020

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.