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- Date: Thu, 07 Jun 2012 09:26:05 +0900
- From: "Stephen J. Turnbull" <stephen@example.com>
- Subject: [tlug] Fortran --> Python (was linux engineer)
- References: <CA+hLB24QCwzJdnUAqb_xgQJuTuERrxy8o8VnRRRXpZNyP45dPw@mail.gmail.com> <20120606145641.d069eb462b8be9a831d855f9@kinali.ch> <20120606182726.5c175889.jep200404@columbus.rr.com>
jep200404@example.com writes: > More seriously, I hear (but don't know) that there is a slow move > in the scientific community from Fortran to Python. Next month > there is a conference for SciPy (Scientific Python) in Austin, > Texas, USA. I didn't go to any, but there were several sessions on scientific Python (the language in use, as opposed to SciPy, which is an umbrella project for a number of specific scientific computation packages) at PyCon in Santa Clara. The impression I get from traffic on the Python lists (where SciPy is rarely discussed -- what comes up is when NumPy needs API clarification from the core) is that in fact "scientific computation" is done in FORTRAN and/or C/C++ (eg, by BLAS), while Python provides I/O facilities, data selection, and very high level algorithmic support. There's a rather clear division of labor between the algorithm hackers (in low-level languages) and the "science" side of the computation. So I'd say that rather than a *move* from FORTRAN to Python, I'd say that FORTRAN (and of course C/C++) are still in heavy use, but Python bindings are making heavy-duty computation available to scientists without much in the way of programming skills.
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