Who Cited It

SciPy 1.0: fundamental algorithms for scientific computing in Python

2020 · Nature Methods · 39,642 citations · 2 from inside this corpus

No author records on this work.

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.

SciPy 1.0: fundamental algorithms for scientific computing in Python (2020)SciPy 1.0: fundamental algori…The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package… (2018)The Astropy Project: Building…Statsmodels: Econometric and Statistical Modeling with Python (2010)Statsmodels: Econometric and …Finding scientific topics (2004)Finding scientific topicsProbabilistic programming in Python using PyMC3 (2016)Probabilistic programming in …SymPy: symbolic computing in Python (2017)SymPy: symbolic computing in …Array programming with NumPy (2020)Array programming with NumPyArray programming with NumPy (2020)Array programming with NumPy
7 of 7 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package…20187,639
Statsmodels: Econometric and Statistical Modeling with Python20106,800
Finding scientific topics20046,082
Probabilistic programming in Python using PyMC320162,569
SymPy: symbolic computing in Python20171,691

What cites it, inside the corpus

PaperYearCited
Array programming with NumPy202023,533
Array programming with NumPy202018,812

Links

DOI · Open access copy · OpenAlex record

Topics

Computational Physics and Python ApplicationsComputer Science
Scientific Computing and Data ManagementDecision Sciences
Genetics, Bioinformatics, and Biomedical ResearchBiochemistry, Genetics and Molecular Biology

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partial

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  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports70 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…