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Accessing Fortran code with Python
Scientific Computing
Summary
Fortran code is accessible by Python in a number of ways, ranging from C wrappers for Fortran functions to dedicated tools that all are pretty simple to use. While f2py is the most popular tool, I have had trouble using it with non-GFortran compilers.
In the next article, I will present a few of the many Python libraries that allow you to use GPUs. I think you will be pleasantly surprised at the state of GPU computing in Python.
Infos
- Fortran 2003: https://en.wikipedia.org/wiki/Fortran#Fortran_2003
- Fortran 90: https://www.fortran90.org/
- Fortran 2003 standard: https://en.wikipedia.org/wiki/Fortran#Fortran_2003
- Pierre Augier's website: http://www.legi.grenoble-inp.fr/people/Pierre.Augier/how-to-call-fortran-from-python.html
- "High-Performance Python – Compiled Code and C Interface" by Jeff Layton: http://www.admin-magazine.com/HPC/Articles/High-Performance-Python
- f2py: http://cens.ioc.ee/~pearu/
- f2py users guide: https://docs.scipy.org/doc/numpy/f2py/
- Wrapping fortran functions: https://docs.scipy.org/doc/numpy/f2py/getting-started.html#the-quick-and-smart-way
- "Multicore Processing with Fortran and OpenMP" by Jeff Layton: http://www.admin-magazine.com/HPC/Articles/Multicore-Processing-in-Python
- gfort2py: https://github.com/rjfarmer/gfort2py
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