F2PY: a tool for connecting Fortran and Python programs
By Pearu Peterson. 2009
237 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Hardware and Architecture, Information Systems, Numerical Methods & Scientific Computing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jonathan J. Helmus
- C. Jaroniec
- K. Jarrod Millman
- Pearu Peterson
- Matthew Brett
- S. Van Der Walt
- Kevin Sheppard
- Stephan Hoyer
In Hardware and Architecture
In Information Systems
In Numerical Methods & Scientific Computing
- Jonathan J. Helmus
- C. Jaroniec
- K. Jarrod Millman
- S. Van Der Walt
- J. Vanderplas
- Carlos Henrique Grohmann
- Colin Raffel
- Daniel Müllner
Citations in the corpus
- Array programming with NumPy (2020, methodology): “Broadly, the NumPy library consists of the following parts: the NumPy array data structure ndarray; the so-called universal functions; a set of library functions for manipulating arrays and doing scientific computation; infrastructure libraries for unit tests and Python package building; and the pro”
- pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization (2011, unknown): “Integration of Fortran and C ++ codes can be done using freely available tools, such as F2PY (Peterson 2009) and SWIG (Blezek 1998), respectively, which automate the integration process while enabling access to the original code functionality from Python.”
- Nmrglue: an open source Python package for the analysis of multidimensional NMR data (2013, methodology): “Furthermore, C, C?? or Fortran code can be easily interfaced with Python using the C-API module in NumPy, F2PY, SWIG, or Cython, which allows the analysis routines written in these languages to be included in nmrglue scripts.”