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Know of Substantial Apps Written in Python?
John J. Leephrxy at csv.warwick.ac.uk
Fri Apr 6 00:41:21 EDT 2001
On 5 Apr 2001, Grant Griffin wrote:> In article <mailman.986245212.31720.python-list at python.org>, "Ken says...> >> >From: "Grant Griffin" <not.this at seebelow.org>> >> . . .> >> The essential trade in using Python is that you give up some run-time> >> speed to pick up development-time speed--and that's almost always a good[...]> >Actually python is a perfectly good choice for applications where run-time> >speed -is- important, provided that the 2% of the code where significant> >CPU cycles are actually burnt are written in C or C++. In many cases this[...]> Yes, but are they doing it in "real time"?You make it sound as if that were the only kind of programming worthdoing! ;-)> Numeric Python is a wonderful thing (in fact, I've even used it> myself--you know, to do DSP <wink>), but it's still useful mainly for> "offline" processing--at least that's the only way I ever use it.[...]> And in the real-time/embedded world, you usually can't operate on> large blocks of data because of memory and/or latency constraints.[...]Would it be possible / useful to have some kind of system in which asimple C program continuously churns through incoming data, with Pythondoing whatever higher-level control you are interested in? I don't have afeeling for what would be useful in this kind of (real-time / embedded)application.But surely your kind of application is the exception rather than the rule,generally, not just in technical applications, so "Actually python is aperfectly good choice for applications where run-time speed -is-important, provided that the 2% of the code where significant" is truemore often than not. Maybe I'm just ignorant of the amount of embedded /real time software that gets written.John
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