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

Reviewer: Ajit Singh

Publication date of review: 2021-01-20

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Ajit Singh5

SciPy 1.0: fundamental algorithms for scientific computing in PythonCrossref ScienceOpen

Excellent Presentation

Average rating:	    Rated 4.5 of 5.
Level of importance:	    Rated 4 of 5.
Level of validity:	    Rated 5 of 5.
Level of completeness:	    Rated 4 of 5.
Level of comprehensibility:	    Rated 5 of 5.
Competing interests:	No competing interests.

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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.

0 comments Cited 7095 times     Rated -3 of 5. – based on 1 reviews

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Topic is excellently presented throughout the paper except suitable literature review.

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 Python

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