The numba package (and llvmpy below it) is rapidly getting to production use stage, this means all those people using Python for data analysis (and there are a lot of them) will no longer be searching for Cython/C/C ++/D to speed up their codes, they'll just @autojit their Python code to generate LLVM based native code for the performance critical sections.
This will mean this arena of programming will only use C/C++/Fortran for ready made libraries and not for anything new. I suspect this will make PyD and similar more or less redundant. On the up side, it is further emphasizing that LLVM is the short- and medium-term future of native code generation and it is good that there is LDC, and that it is (almost) up to date with D versions. -- 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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