SciPy 1.0: fundamental algorithms for scientific computing in Python

• Published in: Nature methods Vol. 17; no. 3; pp. 261 - 272
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.03.2020; Nature Publishing Group
• Subjects: 631/114; 631/45/56; 706/703/559; Algorithms; Bioinformatics; Biological Microscopy; Biological Techniques; Biomedical and Life Sciences; Biomedical Engineering/Biotechnology; Computation; Computational Biology - history; Computational Biology - methods; Computational Physics; Computer Science; Computer Simulation; Data Structures and Algorithms; History, 20th Century; History, 21st Century; Libraries; Life Sciences; Linear Models; Mathematical Software; Models, Biological; Nonlinear Dynamics; Numerical Analysis; Perspective; Programming Languages; Proteomics; Python; Signal Processing, Computer-Assisted; Software; Software Engineering; Scientific computing; Algorithms; Python (Computer program language)
• ISSN: 1548-7091; 1548-7105; 1548-7105
• DOI: 10.1038/s41592-019-0686-2

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. This Perspective describes the development and capabilities of SciPy 1.0, an open source scientific computing library for the Python programming language.