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    Review of 'SciPy 1.0: fundamental algorithms for scientific computing in Python'

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

    Pauli Virtanen, Ralf Gommers, Travis E. Oliphant … (2020)
    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.
    Article 0 comments Cited 4476 times    Rated -3 of 5. – based on 1 reviews
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      DOI:: 10.14293/S2199-1006.1.SOR-LIFE.A7056644.v1.RYSREG
      License:
      This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

      Keywords: technology,computational biology and bioinformatics,biophysical chemistry
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      Topic is excellently presented throughout the paper except suitable literature review.

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      Version and Review History
      1
      Preprint
      Reviewed by Ajit Singh