Laboratory for Dynamics of Machines and Structures 
SciPy 1.0: fundamental algorithms for scientific computing in Python
 P. Virtanen, R. Gommers, TE Oliphant and J. Slavič et al.
Nature Methods (2020)

doi.org/10.1038/s41592-019-0686-2
Abstract
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.
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Professor

Janko Slavič, PhD

  Ladisk, Faculty of Mechanical Engineering, University of Ljubljana
  janko.slavic@fs.uni-lj.si
  +386 1 4771 226
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