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Cited by 242

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

F2PY: a tool for connecting Fortran and Python programs

Peterson, Pearu·2009·International Journal of Computational Science and Engineering

Abstract

Abstract: In this paper we tackle the problem of connecting low-level Fortran programs to high-level Python programs. The difficulties of mixed language programming between Fortran and C are resolved in an almost compiler and platform independent way. We provide a polished software tool F2PY that can (semi-)automatically build interfaces between the Python and Fortran languages and hence almost completely hide the difficulties from the target user: a research scientist who develops a computer model using a high-performance scripting approach.

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Crossref · 10.1504/ijcse.2009.029165

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Citations

Cites

  • Python for scientific computing

    Oliphant, T. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.58 · Cited by 3,303 · cited 1×

    “High-quality scientific computational packages in Python have emerged within the last ten years (Oliphant, 2007).”
    Background

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Metadata

Authors
Peterson, P.
Venue
International Journal of Computational Science and Engineering
Published
2009
Volume
4
Issue
4
Pages
296-305
ISSN
  • 1742-7185 (ISSN-L)
  • 1742-7193
OpenAlex
W1971102487
Cited by
242
References
1
FWCI
9.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: F2PY: a tool for connecting Fortran and Python programs. https://app.cochat.ai/papers/10.1504/ijcse.2009.029165
The paper
Peterson, P. (2009). F2PY: a tool for connecting Fortran and Python programs. International Journal of Computational Science and Engineering. https://doi.org/10.1504/ijcse.2009.029165

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.