On 2014-02-09, Chris Angelico <ros...@gmail.com> wrote: > Heavy computation might be unideal in Python, but if you can grunge > it into NumPy operations, that won't be a problem.
While one might thing Python is not suitable for heavy number crunching, it actually gets used for that a lot due to the wide variety of hard-core number-crunching libraries[1] available (BLAS, LINPACK, LAPACK, and the sort of thing usually associated with boffins writin FORTRAN programs). If you're interestedin that sort of stuff, check out Scientific Python, SciPy, et al. http://www.scipy.org/ http://en.wikipedia.org/wiki/ScientificPython/ https://wiki.python.org/moin/NumericAndScientific For extra geek-points you run them on the Fermilab/CERN "Scientific Linux" distro: https://www.scientificlinux.org/ You can also get a Python distribution with all the extra geekyness already baked in: https://www.enthought.com/products/epd/ [1] Some of those libraries are in FORTRAN because I guess there are some sorts of numerical hocus-pocus that still writes easier and runs faster in FORTRAN than in C. -- Grant Edwards grant.b.edwards Yow! I'm ZIPPY the PINHEAD at and I'm totally committed gmail.com to the festive mode. -- https://mail.python.org/mailman/listinfo/python-list