On Fri, 2015-03-13 at 14:51 +0000, Chris via Digitalmars-d wrote: […] > > [1] The problem is that all these nice Python and R > implementations are practically useless for real world > applications. Too slow, too cumbersome, too many dependencies. It > has to be rewritten anyway. (I'd be happy, if they used at least > C.)
I am not sure which "real world" you are living in, but I have Python code that executes computationally intensive codes at least as fast as C, C++, and Fortran. R is slow in comparison. Python code is generally easier to read and write than C, C++ and Fortran, so not cumbersome. Dependencies depends on what you want to use in any programming languages so all fail on that metric. No-one in 2015 should be writing any application in C; it is too low-level a language for the current state of programming. In the real world as I know it people use Python for masses of stuff and it does the job well. Statisticians use R. -- Russel. ============================================================================= Dr Russel Winder t: +44 20 7585 2200 voip: sip:russel.win...@ekiga.net 41 Buckmaster Road m: +44 7770 465 077 xmpp: rus...@winder.org.uk London SW11 1EN, UK w: www.russel.org.uk skype: russel_winder
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